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DTSTART;TZID=America/Los_Angeles:20231106T161500
DTEND;TZID=America/Los_Angeles:20231106T171500
DTSTAMP:20230912T155411Z
CREATED:20230912T155411Z
LAST-MODIFIED:20230912T155411Z
UID:10002119-1699287300-1699290900@colleges.claremont.edu
SUMMARY:Applied Math Seminar: Claremont Colleges Course Previews for Spring 2024
DESCRIPTION:During this student-centered Applied Math Seminar\, there will be discussion and presentations about upcoming courses offered in applied mathematics\, to help students make their enrollment choices for Spring 2024 and beyond.
URL:https://colleges.claremont.edu/ccms/event/applied-math-seminar-claremont-colleges-course-previews-for-spring-2024/
LOCATION:Estella 1021 (Emmy Noether Room)\, Pomona College\, Claremont\, CA\, 91711\, United States
CATEGORIES:Applied Math Seminar
ORGANIZER;CN="Ami Radunskaya":MAILTO:aradunskaya@pomona.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20231030T161500
DTEND;TZID=America/Los_Angeles:20231030T173000
DTSTAMP:20231023T034142Z
CREATED:20231019T153510Z
LAST-MODIFIED:20231023T034142Z
UID:10002138-1698682500-1698687000@colleges.claremont.edu
SUMMARY:Applied Math Seminar: Jeremy Brandman (DCS corporation)
DESCRIPTION:Title \nControl algorithms for unmanned underwater vehicles: new approaches based on Hamilton-Jacobi equations and reinforcement learning. \nAbstract \nUnmanned underwater vehicles (UUVs) are defined by their ability to operate without direct human intervention.  As a result\, UUVs are valuable for surveillance tasks\, especially in the presence of hazardous environmental conditions. Specific applications of UUVs include seafloor mapping\, mine detection\, and oil pipeline inspection. \nIn this talk\, we propose new algorithms for two aspects of UUV control: path planning and vehicle guidance.  Path planning identifies a vehicle trajectory\, based on anticipated environmental conditions\, that achieves desired mission objectives (e.g. obstacle avoidance\, minimization of energy consumption). Vehicle guidance responds to observed environmental conditions in order to maintain fidelity to the path selected by the path planner. \nThe first half of this talk considers a new approach to path planning based on solving Hamilton-Jacobi partial differential equations (PDE).  The starting point for this method is the observation that the vehicle’s minimum travel-time satisfies a time-independent Hamilton-Jacobi equation .  Numerical solutions to this PDE are efficiently computed using the fast sweeping method.  Our approach is validated through several examples for which optimal trajectories are derived using the calculus of variations. \nThe second half of this talk introduces a reinforcement learning framework for incorporating in situ ocean current measurements into the guidance system in an energetically optimal manner.  Scaling and symmetry considerations turn out to play an important role in the framework’s efficiency and robustness.  Numerical results demonstrate that the energetic cost of transits executed under the guidance of a trained agent approaches optimal performance.
URL:https://colleges.claremont.edu/ccms/event/applied-math-seminar-jeremy-brandman/
LOCATION:Estella 1021 (Emmy Noether Room)\, Pomona College\, Claremont\, CA\, 91711\, United States
CATEGORIES:Applied Math Seminar
ORGANIZER;CN="Ami Radunskaya":MAILTO:aradunskaya@pomona.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20231023T161500
DTEND;TZID=America/Los_Angeles:20231023T171500
DTSTAMP:20231023T033921Z
CREATED:20230912T154613Z
LAST-MODIFIED:20231023T033921Z
UID:10002117-1698077700-1698081300@colleges.claremont.edu
SUMMARY:Applied Math Seminar: Evan Rosenman (CMC)
DESCRIPTION:Title:  Recalibration of Predicted Probabilities Using the “Logit Shift”: Why Does It Work\, and When Can It Be Expected to Work Well? \nAbstract: In the context of election analysis\, researchers frequently face the “recalibration problem.” That is: they must reconcile individual-level vote probabilities\, modeled prior to the election\, with vote totals observed in each precinct once the election has taken place. Making these adjustments such that the probabilities match known aggregates\, researchers can obtain better-calibrated estimates of key quantities such as vote preferences among subgroups of the electorate defined by race\, age\, and gender. \nWe provide theoretical grounding for one of the most commonly used recalibration strategies\, known colloquially as the “logit shift.” The logit shift is a heuristic adjustment\, in which a constant correction on the logit scale is found\, such that aggregated predictions match observed totals. \nWe show that the logit shift offers a fast and accurate approximation to a principled\, but computationally impractical adjustment strategy: computing the posterior probabilities\, conditional on the observed totals. After deriving analytical bounds on the quality of the approximation\, we illustrate its accuracy using Monte Carlo simulations. We also discuss scenarios in which the logit shift is less effective at recalibrating predictions: when the totals are available only for highly heterogeneous populations\, and when the original predictions correctly capture the mean of true individual probabilities\, but fail to capture the shape of their distribution.
URL:https://colleges.claremont.edu/ccms/event/applied-math-seminar-evan-rosenman-cmc/
LOCATION:Estella 1021 (Emmy Noether Room)\, Pomona College\, Claremont\, CA\, 91711\, United States
CATEGORIES:Applied Math Seminar
ORGANIZER;CN="Ami Radunskaya":MAILTO:aradunskaya@pomona.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20231009T161500
DTEND;TZID=America/Los_Angeles:20231009T171500
DTSTAMP:20231004T015412Z
CREATED:20230912T154505Z
LAST-MODIFIED:20231004T015412Z
UID:10002116-1696868100-1696871700@colleges.claremont.edu
SUMMARY:Applied Math Seminar: Dan Pirjol (Stevens Institute of Technology)
DESCRIPTION:Title: The Hartman-Watson distribution: numerical evaluation and applications in mathematical finance \nAbstract: The Hartman-Watson distribution appears in several problems of applied probability and financial mathematics. Most notably\, it determines the joint distribution of the time-integral of a geometric Brownian motion and its terminal value. A classical result by Yor (1981) expresses it as a one-dimensional integral which is however difficult to evaluate numerically in the region of interest for financial applications. The talk gives an introduction to the HW distribution and presents an asymptotic expansion which can be used for an efficient numerical evaluation. Two applications from mathematical finance are discussed: Asian options pricing in the Black-Scholes model\, and option pricing in the log-normal SABR model.
URL:https://colleges.claremont.edu/ccms/event/applied-math-seminar-dan-pirjol-stevens-institute-of-technology/
LOCATION:Estella 1021 (Emmy Noether Room)\, Pomona College\, Claremont\, CA\, 91711\, United States
CATEGORIES:Applied Math Seminar
ORGANIZER;CN="Ami Radunskaya":MAILTO:aradunskaya@pomona.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20231002T161500
DTEND;TZID=America/Los_Angeles:20231002T171500
DTSTAMP:20230929T050112Z
CREATED:20230912T154332Z
LAST-MODIFIED:20230929T050112Z
UID:10002115-1696263300-1696266900@colleges.claremont.edu
SUMMARY:Applied Math Seminar: Tin Thien Phan (Los Alamos National Laboratory)
DESCRIPTION:Title: Understanding SARS-CoV-2 viral rebounds with and without treatments. \nAbstract: In most instances\, the characteristics of SARS-CoV-2 mirror the patterns of an acute infection\, with viral load rapidly peaking around 5 days post-infection and subsequently clearing within 2 weeks. However\, some individuals show signs of viral recrudescence of up to 10000 viral RNA copies/mL shortly following viral remission. These instances of viral resurgence\, distinct from long COVID\, are generally resolved within four weeks post-infection and have been observed across varying treatment statuses\, vaccination statuses\, and viral strains. In this presentation\, I will review existing evidence of transient viral rebound and demonstrate that a class of dynamic models that incorporates virus-immune interaction accurately describes transient viral rebound dynamics under different treatment scenarios\, including those untreated. While these models all share a simple structure with a unique globally-asymptomatic-stable disease-free equilibrium\, the most exciting and relevant aspect hides within their transient phase and remains largely unexplored.
URL:https://colleges.claremont.edu/ccms/event/applied-math-seminar-tin-thien-phan-los-alamos-national-laboratory/
LOCATION:Estella 1021 (Emmy Noether Room)\, Pomona College\, Claremont\, CA\, 91711\, United States
CATEGORIES:Applied Math Seminar
ORGANIZER;CN="Ami Radunskaya":MAILTO:aradunskaya@pomona.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20230918T161500
DTEND;TZID=America/Los_Angeles:20230918T171500
DTSTAMP:20230912T162421Z
CREATED:20230912T153609Z
LAST-MODIFIED:20230912T162421Z
UID:10002114-1695053700-1695057300@colleges.claremont.edu
SUMMARY:Applied Math Seminar: Michael Murray (UCLA)
DESCRIPTION:Title: Towards Understanding the Success of First Order Methods in Training Mildly Overparameterized Networks \nAbstract: For most problems of interest the loss landscape of a neural network is non-convex and contains a plethora of spurious critical points. Despite this first order methods such as SGD and Adam are in practice remarkably successful at finding optimal\, or at the least near optimal\, minimizers of the loss. In recent years the Neural Tangent Kernel has proven a powerful tool in explaining this phenomena and for providing guarantees for highly overparameterized networks. However\, for mildly overparameterized networks (where width scales linearithmically in the sample size) where richer feature learning can occur an explanation is lacking. In this talk I will present recent results on the loss landscape of two-layer mildly overparameterized ReLU networks. Our approach involves bounding the dimension of the sets of local and global minima using the rank of the Jacobian of the parameterization map. Using results on random binary matrices\, we show most activation patterns correspond to parameter regions with no bad differentiable local minima. Furthermore\, for one-dimensional input data\, we show most activation regions realizable by the network contain a high dimensional set of global minima and no bad local minima. We experimentally confirm these results by finding a phase transition from most regions having full rank to many regions having deficient rank depending on the amount of overparameterization.
URL:https://colleges.claremont.edu/ccms/event/applied-math-seminar-michael-murray-ucla/
LOCATION:Estella 1021 (Emmy Noether Room)\, Pomona College\, Claremont\, CA\, 91711\, United States
CATEGORIES:Applied Math Seminar
ORGANIZER;CN="Ami Radunskaya":MAILTO:aradunskaya@pomona.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20230417T161500
DTEND;TZID=America/Los_Angeles:20230417T171500
DTSTAMP:20230816T023354Z
CREATED:20221207T193543Z
LAST-MODIFIED:20230816T023354Z
UID:10002040-1681748100-1681751700@colleges.claremont.edu
SUMMARY:Applied Math Seminar: Emily de Jong (Caltech)
DESCRIPTION:Title: Modeling size distributions and collisions in cloud microphysics \nAbstract:\nFeedbacks between a warming atmosphere\, emission of aerosols\, and clouds and precipitation are one of the most difficult aspects for climate models to accurately capture. While these models operate at resolutions of tens or hundreds of kilometers\, many of the physics that determine how and where clouds form or precipitate function at the micron droplet scale. This separation of scales means that most of these “microphysics” must be modeled with only a few approximate quantities and physical equations. These simplifications lead to large uncertainties about the future climate\, such as the sensitivity of global warming to human-emitted aerosols.   \nThis talk presents two promising techniques for mathematically representing droplet size distributions and the microphysics that govern how droplets within the distribution evolve. The first method attempts to span a gap in complexity between a simple method of moments and expensive “bin” or spectral representations by collocating smooth basis functions over the droplet size domain. With intelligently selected basis functions\, this approach can represent the process of cloud droplets coalescing to form rain with bin-like accuracy\, but with a degree of complexity that is attainable for global simulations. Next\, we present a high-complexity high-fidelity Lagrangian approach known as the superdroplet method. This approach shows promise as a research tool to verify and train future microphysics models\, but it is currently incomplete in its purview of droplet physics. We describe a probabilistic approach to representing collisional breakup\, an often-overlooked process that can impact precipitation rates\, cloud lifetime\, and aerosol processing.
URL:https://colleges.claremont.edu/ccms/event/applied-math-seminar-emily-de-jong-caltech/
LOCATION:Claremont\, CA\, 91711\, United States
CATEGORIES:Applied Math Seminar
ORGANIZER;CN="Heather Zinn Brooks":MAILTO:hzinnbrooks@g.hmc.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20230410T161500
DTEND;TZID=America/Los_Angeles:20230410T171500
DTSTAMP:20230816T023147Z
CREATED:20230131T010146Z
LAST-MODIFIED:20230816T023147Z
UID:10002042-1681143300-1681146900@colleges.claremont.edu
SUMMARY:Applied Math Seminar: Johannes Brust (UCSD)
DESCRIPTION:Title: PLSS: A Projected Linear Systems Solver (joint work with Michael Saunders) \nAbstract:\nIteratively solving linear systems has proven to be useful for many large applications. Projection methods use sketching matrices (possibly randomized) to generate a sequence of small projected subproblems\, but even the smaller systems can be costly. We develop a method in which one column is added to the sketching matrix each iteration. By choosing the sequence of all previous residuals for a sketch\, we derive an iterative process with orthogonal residuals that leads to a simple recursive update to approximate the solution. In exact arithmetic\, our method (PLSS) converges in at most \(n\) iterations\, where \(n\) is the column rank of matrix \(A\). In experiments on large sparse systems\, PLSS compares favorably with deterministic and state-of-the-art randomized methods.
URL:https://colleges.claremont.edu/ccms/event/applied-math-seminar-johannes-brust-ucsd/
LOCATION:Claremont\, CA\, 91711\, United States
CATEGORIES:Applied Math Seminar
ORGANIZER;CN="Heather Zinn Brooks":MAILTO:hzinnbrooks@g.hmc.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20230403T161500
DTEND;TZID=America/Los_Angeles:20230403T171500
DTSTAMP:20230320T152627Z
CREATED:20221020T204917Z
LAST-MODIFIED:20230320T152627Z
UID:10002038-1680538500-1680542100@colleges.claremont.edu
SUMMARY:Applied Math Seminar: Ivy Xiong (USC)
DESCRIPTION:Title: A common pathway to cancer: oncogenic mutations abolish p53 oscillations. \nAbstract:\nThe tumor suppressor p53 oscillates in response to DNA double-strand breaks\, a behavior that has been suggested to be essential to its anti-cancer function. Nearly all human cancers have genetic alterations in the p53 pathway; a number of these alterations have been shown to be oncogenic by experiment. These alterations include somatic mutations and copy number variations as well as germline polymorphisms. Intriguingly\, they exhibit a mixed pattern of interactions in tumors\, such as co-occurrence\, mutual exclusivity\, and paradoxically\, mutual antagonism. Using a differential equation model of p53-Mdm2 dynamics\, I employ Hopf bifurcation analysis to show that these alterations have a common mode of action\, to abolish the oscillatory competence of p53\, thereby impairing its tumor suppressive function. In this analysis\, diverse genetic alterations\, widely associated with human cancers clinically\, have a unified mechanistic explanation of their role in oncogenesis. In this talk\, I will also discuss the role of physiological oscillations in health and disease broadly. \nReferences: \nXiong\, L.\, and Garfinkel\, A. (2022). A common pathway to cancer: Oncogenic mutations abolish p53 oscillations. Progress in Biophysics and Molecular Biology. DOI: 10.1016/j.pbiomolbio.2022.06.002 \nXiong\, L.\, and Garfinkel\, A. (2023). Are physiological oscillations “physiological”? arXiv. DOI: 10.48550/arXiv.2301.08996
URL:https://colleges.claremont.edu/ccms/event/applied-math-seminar-ivy-xiong-usc/
LOCATION:Claremont\, CA\, 91711\, United States
CATEGORIES:Applied Math Seminar
ORGANIZER;CN="Heather Zinn Brooks":MAILTO:hzinnbrooks@g.hmc.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20230327T161500
DTEND;TZID=America/Los_Angeles:20230327T171500
DTSTAMP:20230816T040538Z
CREATED:20221026T182923Z
LAST-MODIFIED:20230816T040538Z
UID:10002039-1679933700-1679937300@colleges.claremont.edu
SUMMARY:Applied Math Seminar:  Linh Huynh (University of Utah)
DESCRIPTION:Title:Inferring birth and death rates from population size time series data   \nAbstract:\nModels of population dynamics are usually formulated and analyzed with net growth rates. However\, separately identifying birth and death rates is significant in various biological applications such as disambiguating (1) exploitation vs. interference competition in ecology\, (2) bacteriostatic vs. bactericidal antibiotics in clinical treatments\, and (3) enhanced-fecundity vs. reduced-mortality mechanisms in drug resistance. In each of these three contexts\, the mechanisms are different\, but could be manifest in the same mean-field population size. \nIn this talk\, I will discuss a nonparametric method that utilizes stochastic fluctuations to extract birth and death rates from population size time series data. I will demonstrate the method on logistic growth to study density dependence\, but the method can be applied to general birth-death processes and does not require a priori assumptions on the rates. I will also discuss how to implement the theory on sample data and our estimation error analysis. This is based on published work joint with Peter Thomas (Case Western Reserve University) and Jacob Scott (Cleveland Clinic) and can be found here: Inferring density-dependent population dynamics mechanisms through rate disambiguation for logistic birth-death processes.
URL:https://colleges.claremont.edu/ccms/event/applied-math-seminar-linh-huynh-university-of-utah/
LOCATION:Claremont\, CA\, 91711\, United States
CATEGORIES:Applied Math Seminar
ORGANIZER;CN="Heather Zinn Brooks":MAILTO:hzinnbrooks@g.hmc.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20230306T161500
DTEND;TZID=America/Los_Angeles:20230306T171500
DTSTAMP:20230208T193952Z
CREATED:20230118T184527Z
LAST-MODIFIED:20230208T193952Z
UID:10002041-1678119300-1678122900@colleges.claremont.edu
SUMMARY:Applied Math Seminar: Nataliya Vasylyeva (IAMM NAS of Ukraine)
DESCRIPTION:Title: Identification of the order of semilinear subdiffusion with memory \nAbstract: See attached abstract
URL:https://colleges.claremont.edu/ccms/event/applied-math-seminar-nataliya-vasylyeva-iamm-nas-of-ukraine/
LOCATION:Claremont\, CA\, 91711\, United States
CATEGORIES:Applied Math Seminar
ORGANIZER;CN="Heather Zinn Brooks":MAILTO:hzinnbrooks@g.hmc.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20230227T161500
DTEND;TZID=America/Los_Angeles:20230227T171500
DTSTAMP:20230816T040643Z
CREATED:20221011T224115Z
LAST-MODIFIED:20230816T040643Z
UID:10002037-1677514500-1677518100@colleges.claremont.edu
SUMMARY:Applied Math Seminar: Michael Perlmutter (UCLA)
DESCRIPTION:Title:Geometric Scattering on Measure Spaces \nAbstract:\nGeometric Deep Learning is an emerging field of research that aims to extend the success of convolutional neural networks (CNNs) to data with non-Euclidean geometric structure. Despitebeing in its relative infancy\, this field has already found great success in many applications such as recommender systems\, computer graphics\, and traffic navigation. In order to improve our understanding of the networks used in this new field\, several works have proposed novelversions of the scattering transform\, a wavelet-based model of CNNs for graphs\, manifolds\,and more general measure spaces. In a similar spirit to the original Euclidean scattering transform\, these geometric scattering transforms provide a mathematically rigorous framework for understanding the stability and invariance of the networks used in geometric deep learning.Additionally\, they also have many interesting applications such as drug discovery\, solving combinatorial optimization problems\, and predicting patient outcomes from single-cell data. In particular\, motivated by these applications to single-cell data\, I will also discuss recent work proposing a diffusion maps style algorithm with quantitative convergence guarantees for implementing the manifold scattering transform from finitely many samples of an unknown manifold.
URL:https://colleges.claremont.edu/ccms/event/applied-math-seminar-michael-perlmutter-ucla/
LOCATION:Claremont\, CA\, 91711\, United States
CATEGORIES:Applied Math Seminar
ORGANIZER;CN="Heather Zinn Brooks":MAILTO:hzinnbrooks@g.hmc.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20221128T161500
DTEND;TZID=America/Los_Angeles:20221128T171500
DTSTAMP:20221122T174526Z
CREATED:20220920T153253Z
LAST-MODIFIED:20221122T174526Z
UID:10002036-1669652100-1669655700@colleges.claremont.edu
SUMMARY:Applied Math Seminar: Juergen Kritschgau (Carnegie Mellon)
DESCRIPTION:Title: Using Mutual Information of Hypergraph Compressions for Clustering\n\nAbstract: Hypergraphs are often used to represent higher order observed relationships between subjects of study. In particular\, the vertices of a hypergraph could represent the basic elements of study\, and edges represent observed relationships between the vertices. Implicitly\, the assumption is that observed edges are more (or less) likely to appear between vertices that are “similar”. Therefore\, an important question in data science is whether the edges of a hypergraph can be used to recover ground truth vertex labels where two vertices receive the same label if they are similar. This is known as the clustering problem. In this talk\, we will discuss how mutual information of hypergraph compressions can be used to cluster hypergraphs\, and apply this clustering strategy to synthetic and real world data sets.
URL:https://colleges.claremont.edu/ccms/event/applied-math-seminar-juergen-kritschgau-carnegie-mellon/
LOCATION:Shanahan 2407 at Harvey Mudd College\, Claremont\, CA\, 91711\, United States
CATEGORIES:Applied Math Seminar
ORGANIZER;CN="Heather Zinn Brooks":MAILTO:hzinnbrooks@g.hmc.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20221121T161500
DTEND;TZID=America/Los_Angeles:20221121T171500
DTSTAMP:20230816T040911Z
CREATED:20220905T171325Z
LAST-MODIFIED:20230816T040911Z
UID:10002029-1669047300-1669050900@colleges.claremont.edu
SUMMARY:Applied Math Seminar: Junshan Lin (Auburn)
DESCRIPTION:Title: Scattering Resonances Through Subwavelength Holes and Their Applications in Imaging and Sensing \nAbstract:\nThe so-called extraordinary optical transmission (EOT) through metallic nanoholes has triggered extensive research in modern plasmonics and their applications in bio-sensing\, imaging\, etc. This talk aims to provide quantitative mathematical  theories to understand a variety of resonances that induce the EOT phenomenon and present mathematical studies for their applications in imaging and sensing. \nIn the first part of the talk\, based upon the layer potential technique\, asymptotic analysis and the homogenization theory\, I will present rigorous mathematical analysis to investigate the scattering resonances for several typical two-dimensional structures\, including Fabry-Perot resonance\, Fano resonance\, etc. In the second part of the talk\, mathematical studies for their applications in sensing and super-resolution imaging will be discussed. I will focus on the resonance frequency sensitivity analysis and how one can achieve super-resolution by using plasmonic nanohole structures.
URL:https://colleges.claremont.edu/ccms/event/applied-math-seminar-junshan-lin-auburn/
LOCATION:Shanahan 2407 at Harvey Mudd College\, Claremont\, CA\, 91711\, United States
CATEGORIES:Applied Math Seminar
ORGANIZER;CN="Heather Zinn Brooks":MAILTO:hzinnbrooks@g.hmc.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20221114T161500
DTEND;TZID=America/Los_Angeles:20221114T171500
DTSTAMP:20221101T152658Z
CREATED:20220919T154642Z
LAST-MODIFIED:20221101T152658Z
UID:10002035-1668442500-1668446100@colleges.claremont.edu
SUMMARY:Applied Math Seminar: Jahrul Alum (Memorial University of Newfoundland)
DESCRIPTION:Title: Data-driven large eddy simulation of atmospheric turbulence \nAbstract: Over the last few years\, machine learning has been critical in science and engineering and emerged as a data-driven turbulence model. However\, machine learning depends on training data from previous experiments on turbulent flows. Typically\, training data capture only a fraction of the active scales of turbulence. Despite decades of research\, the best turbulence theory has yet to emerge\, which limits the training of supervised machine learning models. Reinforcement learning is one way to alleviate these challenges. A reinforcement learning model interacts directly with the dynamical system itself. In this talk\, I will use the Burgers equation to illustrate data-driven learning of dynamical systems. Then\, I use simulations of a NACA airfoil and a wind farm to outline the reinforcement learning framework. Finally\, the talk presents a proof of concept for optimizing large eddy simulation through reinforcement learning.
URL:https://colleges.claremont.edu/ccms/event/applied-math-seminar-jahrul-alum-memorial-university-of-newfoundland/
LOCATION:Shanahan 2407 at Harvey Mudd College\, Claremont\, CA\, 91711\, United States
CATEGORIES:Applied Math Seminar
ORGANIZER;CN="Heather Zinn Brooks":MAILTO:hzinnbrooks@g.hmc.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20221107T161500
DTEND;TZID=America/Los_Angeles:20221107T171500
DTSTAMP:20230816T041034Z
CREATED:20220913T161358Z
LAST-MODIFIED:20230816T041034Z
UID:10002034-1667837700-1667841300@colleges.claremont.edu
SUMMARY:Applied Math Seminar: Angel Chavez (Pomona)
DESCRIPTION:Title: Randomized Sums of Graph Spectra \nAbstract:\nThe adjacency matrix of an Erdős-Rényi-Gilbert graph is a random symmetric matrix whose entries are Bernoulli random variables. These entries\, modulo the constraints imposed by symmetry\, are independent. We aim to understand the asymptotic behavior of randomized sums of the spectra and singular spectra of these matrices. In particular\, we establish several central-limit type theorems for these randomized sums of eigenvalues and singular values.
URL:https://colleges.claremont.edu/ccms/event/applied-math-seminar-angel-chavez-pomona/
LOCATION:Shanahan 2407 at Harvey Mudd College\, Claremont\, CA\, 91711\, United States
CATEGORIES:Applied Math Seminar
ORGANIZER;CN="Heather Zinn Brooks":MAILTO:hzinnbrooks@g.hmc.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20221031T161500
DTEND;TZID=America/Los_Angeles:20221031T171500
DTSTAMP:20221026T145641Z
CREATED:20220909T224518Z
LAST-MODIFIED:20221026T145641Z
UID:10002031-1667232900-1667236500@colleges.claremont.edu
SUMMARY:Applied Math Seminar: Anna Nelson (Duke)
DESCRIPTION:Title: Mathematical modeling of polymerization processes in physiology\n\nAbstract: Polymerization\, or aggregation\, is essential for many physiological systems. For example\, the emergence of a fibrin polymer mesh during the formation of a blood clot is required for a stable clot and long-term\, sustained intracellular transport in neurons rely on persistent yet dynamic polymers that comprise the microtubule cytoskeleton. In the first part of the talk\, I will discuss a kinetic polymerization model that represents the formation of a fibrin polymer mesh with interactions with its precursor molecule\, fibrinogen. With this model\, we investigate how fibrin-fibrinogen interactions can impact gel structure (such as concentration of branch points) and gel time. In the second part\, I will introduce a stochastic mathematical model of individual microtubule growth and catastrophe in the dendrite of a neuron. Using parameters informed by experimental data\, we explore what mechanisms could control the equilibrium microtubule length and validate these mechanisms using fluorescence microscopy data.  \n\n 
URL:https://colleges.claremont.edu/ccms/event/applied-math-seminar-anna-nelson-duke/
LOCATION:Shanahan 2407 at Harvey Mudd College\, Claremont\, CA\, 91711\, United States
CATEGORIES:Applied Math Seminar
ORGANIZER;CN="Heather Zinn Brooks":MAILTO:hzinnbrooks@g.hmc.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20221024T161500
DTEND;TZID=America/Los_Angeles:20221024T171500
DTSTAMP:20220929T220052Z
CREATED:20220929T220052Z
LAST-MODIFIED:20220929T220052Z
UID:10002028-1666628100-1666631700@colleges.claremont.edu
SUMMARY:Applied Math Seminar: Susan Friedlander (USC)
DESCRIPTION:Title: Kolmogorov\, Onsager and a Dyadic Model for Turbulence \nAbstract: We will briefly review Kolmogorov’s ( 41) theory of homogeneous turbulence\nand Onsager’s ( 49 ) conjecture that in 3-dimensional turbulent flows energy\ndissipation might exist even in the limit of vanishing viscosity. \nAlthough over the past 70 years there is a vast body of literature related to this subject\,\nat present there is no rigorous mathematical proof that the solutions to the Navier-Stokes\nequations yield Kolmogorov’s laws. For this reason various models have been introduced\nthat are more tractable but capture some of the essential features of the Navier-Stokes\nequations themselves. We will discuss one such dyadic model for turbulent energy cascades.\nWe will describe how results can be used to prove this dyadic model is consistent with\nKolmogorov’s theory and Onsager’s conjecture. \nAspects of the work are joint with Alexey Cheskidov\, Nathan Glatt-Holtz\, Roman Shvydkoy\, and Vlad Vicol.
URL:https://colleges.claremont.edu/ccms/event/applied-math-seminar-susan-friedlander-usc/
LOCATION:Shanahan 2407 at Harvey Mudd College\, Claremont\, CA\, 91711\, United States
CATEGORIES:Applied Math Seminar
ORGANIZER;CN="Heather Zinn Brooks":MAILTO:hzinnbrooks@g.hmc.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20221010T161500
DTEND;TZID=America/Los_Angeles:20221010T171500
DTSTAMP:20220929T215737Z
CREATED:20220909T224751Z
LAST-MODIFIED:20220929T215737Z
UID:10002032-1665418500-1665422100@colleges.claremont.edu
SUMMARY:Applied Math Seminar: Adam Waterbury (UCSB)
DESCRIPTION:Title: Approximating Quasi-Stationary Distributions with Interacting Reinforced Markov Chains\n\nAbstract: An important question in ecology is what conditions must be met for a population of interacting species to coexist. In realistic models of such populations\, after a large enough amount of time has passed\, one or more of the species are sure to face extinction. However\, the time that it takes for extinction to occur can be quite large\, so it is natural to consider whether the population can sustain any long-term coexistence before any of the species are extinct. This metastability is captured in the notion of a quasi-stationary distribution (QSD). However\, calculating the QSD of such a system can be numerically difficult\, as it amounts to solving a system of nonlinear equations\, which has led to a wide range of simulation-based methods that can be used to efficiently approximate QSD. In the first part of this talk I introduce two new simulation-based methods for approximating QSD that are described in terms of a large collection of interacting particles known as reinforced Markov chains. In the second part of this talk I discuss some related work studying the rare-event asymptotics of a related class of reinforced Markov chains.
URL:https://colleges.claremont.edu/ccms/event/applied-math-seminar-adam-waterbury-ucsb/
LOCATION:Shanahan 2407 at Harvey Mudd College\, Claremont\, CA\, 91711\, United States
CATEGORIES:Applied Math Seminar
ORGANIZER;CN="Heather Zinn Brooks":MAILTO:hzinnbrooks@g.hmc.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20221003T161500
DTEND;TZID=America/Los_Angeles:20221003T171500
DTSTAMP:20220929T215943Z
CREATED:20220909T225108Z
LAST-MODIFIED:20220929T215943Z
UID:10002033-1664813700-1664817300@colleges.claremont.edu
SUMMARY:Applied Math Seminar: Harlin Lee (UCLA)
DESCRIPTION:Title: Understanding scientific fields with network analysis and topic modeling\n\nAbstract: As scientific disciplines get larger\, it becomes impossible for an individual researcher to be familiar with the entire body of literature\, which forces them to specialize in a sub-field. Such insulation can hinder the birth of ideas that arise from new connections\, eventually slowing down scientific progress. As such\, discovering fruitful interdisciplinary connections by analyzing scientific publications is an important problem in the science of science. This talk will present several past and ongoing projects in answering that question using tools from network analysis and topic modeling: 1) a dynamic-embedding-based method for link prediction in a machine learning semantic network\, where the nodes are concepts in machine learning\, and the time-stamped edges indicate co-occurrence in scientific papers\, and 2) finding communities in cognitive science that study similar topics but do not cite each other or publish in the same venues.
URL:https://colleges.claremont.edu/ccms/event/applied-math-seminar-harlin-lee-ucla/
LOCATION:Shanahan 2407 at Harvey Mudd College\, Claremont\, CA\, 91711\, United States
CATEGORIES:Applied Math Seminar
ORGANIZER;CN="Heather Zinn Brooks":MAILTO:hzinnbrooks@g.hmc.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20220919T161500
DTEND;TZID=America/Los_Angeles:20220919T171500
DTSTAMP:20220910T044707Z
CREATED:20220909T190042Z
LAST-MODIFIED:20220910T044707Z
UID:10002030-1663604100-1663607700@colleges.claremont.edu
SUMMARY:Applied Math Seminar: Chiu-Yen Kao (CMC)
DESCRIPTION:Title: Computational Approaches to Optimization Problems in Inhomogeneous Rods and Plates \nAbstract: \nIn this talk\, we will show the experiments of the vibration of plates to generate Chladni’s figures and discuss computational approaches to optimization problems of inhomogeneous rods and plates. We consider both optimization of eigenvalues and localization of eigenfunctions. These problems are motivated by physical problems including the determination of extremum of fundamental vibration frequency and the localization of the vibration displacement. We demonstrate how an iterative rearrangement approach and a gradient descent approach with projection can successfully solve these optimization problems.\n\nThis is a joint work with Weitao Chen at University of California\, at Riverside and it is dedicated to our esteemed collaborator and friend: Ching-Shan Chou.
URL:https://colleges.claremont.edu/ccms/event/applied-math-seminar-chiu-yen-kao-cmc/
LOCATION:Shanahan 2407 at Harvey Mudd College\, Claremont\, CA\, 91711\, United States
CATEGORIES:Applied Math Seminar
ORGANIZER;CN="Heather Zinn Brooks":MAILTO:hzinnbrooks@g.hmc.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20220502T161500
DTEND;TZID=America/Los_Angeles:20220502T171500
DTSTAMP:20220422T161142Z
CREATED:20220422T161142Z
LAST-MODIFIED:20220422T161142Z
UID:10002027-1651508100-1651511700@colleges.claremont.edu
SUMMARY:Applied Math Seminar -- Almut Burchard (U. Toronto)
DESCRIPTION:Title: What is the best shape? Geometric\nproblems arising in aggregation models \nAbstract: How do pair interactions shape the large-scale\nbehaviour of a cloud of particles (animals\,\nsocial agents …) ?  In the most basic\nmodels\, the shape of the cloud is determined\nby minimizing an attractive-repulsive interaction\nenergy under suitable geometric constraints. \nWhen can we expect aggregation to occur? what\nis the shape of the resulting flock?  I will\ndescribe recent work on optimal shapes in capacitor\nproblems  that occur as limiting cases. \n 
URL:https://colleges.claremont.edu/ccms/event/applied-math-seminar-almut-burchard-u-toronto/
LOCATION:Emmy Noether Room\, Estella 1021\, Pomona College\,\, 610 N. College Ave.\, Claremont\, CA\, 91711\, United States
CATEGORIES:Applied Math Seminar
ORGANIZER;CN="Heather Zinn Brooks":MAILTO:hzinnbrooks@g.hmc.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20220425T161500
DTEND;TZID=America/Los_Angeles:20220425T171500
DTSTAMP:20230816T041400Z
CREATED:20211213T202110Z
LAST-MODIFIED:20230816T041400Z
UID:10002021-1650903300-1650906900@colleges.claremont.edu
SUMMARY:Applied Math Seminar -- Alona Kryshchenko (CSUCI)
DESCRIPTION:Title: Data science and applications in dynamic topic modeling \nAbstract:\nThe shockwaves of the big data boom have thrown into sharp relief the critical need for domain-driven\, large-scale data analytic techniques across the fields of\, among others\, finance\, political science\, economics\, psychology\, and medicine.  It is not simply the size of data sets that contributes to the extreme challenges of data analysis in these fields\, but the inherent complexity of this data.  Often this data is multi-modal\, with modes representing measurements along different dimensions (e.g.\, spatial\, and temporal dimensions of video data\, or word and document dimensions of text corpora data).  This data is often naturally formatted as a tensor\, a higher-order generalization of a matrix. In this talk\, we will explore nonnegative tensor decompositions and their applications in dynamic topic modeling.
URL:https://colleges.claremont.edu/ccms/event/applied-math-seminar-alona-kryshchenko-csuci/
LOCATION:Emmy Noether Room\, Estella 1021\, Pomona College\,\, 610 N. College Ave.\, Claremont\, CA\, 91711\, United States
CATEGORIES:Applied Math Seminar
ORGANIZER;CN="Heather Zinn Brooks":MAILTO:hzinnbrooks@g.hmc.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20220411T161500
DTEND;TZID=America/Los_Angeles:20220411T171500
DTSTAMP:20220125T182732Z
CREATED:20220125T182732Z
LAST-MODIFIED:20220125T182732Z
UID:10002025-1649693700-1649697300@colleges.claremont.edu
SUMMARY:Applied Math Seminar -- Applied Attractions at Claremont Colleges
DESCRIPTION:During this student-centered Applied Math Seminar\, there will be discussion and presentation about upcoming courses in applied mathematics to help students make their enrollment choices for Fall 2022 and beyond.
URL:https://colleges.claremont.edu/ccms/event/applied-math-seminar-applied-attractions-at-claremont-colleges/
LOCATION:Emmy Noether Room\, Estella 1021\, Pomona College\,\, 610 N. College Ave.\, Claremont\, CA\, 91711\, United States
CATEGORIES:Applied Math Seminar
ORGANIZER;CN="Heather Zinn Brooks":MAILTO:hzinnbrooks@g.hmc.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20220404T161500
DTEND;TZID=America/Los_Angeles:20220404T173000
DTSTAMP:20220328T041515Z
CREATED:20220328T041515Z
LAST-MODIFIED:20220328T041515Z
UID:10001990-1649088900-1649093400@colleges.claremont.edu
SUMMARY:Applied Math Seminar -- Kathryn G. Link (UC Davis)
DESCRIPTION:Title: Viscoelastic Effects of Spontaneous Oscillations of Elastic Filaments in the Follower-Force Problem. \nAbstract: It is well know that microorganisms\, such as bacteria and eukaryotes\, often move in intricate environments experiencing mechano-chemical dynamics. These environments consist of rheologically complex substances such as mucus and other biofilms that are more complicated than water.  Spermatozoa (sperm)\, for example\, swim in viscoelastic mucus via deformations of their flagella\, which are slender threadlike structures that are powered by internal molecular motors. The motor activity generates flagellar bending\, resulting in an undulatory beat. The effects of a fading-memory fluid on emergent properties of these spontaneous oscillations are not entirely known. Here we combine analysis with numerical simulations of finite-length\, small-amplitude pinned filaments subject to a compressive follower force to elucidate the Hopf bifurcation that occurs with increasing forcing on the filament. Additionally\, we determine characteristics of the flapping motion\, specifically frequency and amplitude changes and how those changes depend on follower force strength as well as fluid elasticity.
URL:https://colleges.claremont.edu/ccms/event/applied-math-seminar-kathryn-g-link-uc-davis/
LOCATION:Emmy Noether Room\, Estella 1021\, Pomona College\,\, 610 N. College Ave.\, Claremont\, CA\, 91711\, United States
CATEGORIES:Applied Math Seminar
ORGANIZER;CN="Heather Zinn Brooks":MAILTO:hzinnbrooks@g.hmc.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20220321T161500
DTEND;TZID=America/Los_Angeles:20220321T171500
DTSTAMP:20230816T041537Z
CREATED:20220110T210855Z
LAST-MODIFIED:20230816T041537Z
UID:10002022-1647879300-1647882900@colleges.claremont.edu
SUMMARY:Applied Math Seminar -- Jamie Haddock (HMC)
DESCRIPTION:Title: Connections between Iterative Methods for Linear Systems and Consensus Dynamics on Networks \nAbstract:\nThere is a well-established linear algebraic lens for studying consensus dynamics on networks\, which has yielded significant theoretical results in areas like distributed computing\, modeling of opinion dynamics\, and ranking methods.  Recently\, strong connections have been made between problems of consensus dynamics on networks and classical iterative methods in numerical linear algebra.  This talk will discuss an instance of these connections\, in particular between the gossip methods in distributed computing and the Kaczmarz methods in numerical linear algebra.  We will present theoretical convergence results\, empirical and numerical simulation results\, and discuss future work in applying these numerical linear algebraic techniques to broader and more complex consensus dynamics models\, especially those coming from opinion dynamics and ranking.
URL:https://colleges.claremont.edu/ccms/event/applied-math-seminar-jamie-haddock-hmc/
LOCATION:Emmy Noether Room\, Estella 1021\, Pomona College\,\, 610 N. College Ave.\, Claremont\, CA\, 91711\, United States
CATEGORIES:Applied Math Seminar
ORGANIZER;CN="Heather Zinn Brooks":MAILTO:hzinnbrooks@g.hmc.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20220228T161500
DTEND;TZID=America/Los_Angeles:20220228T171500
DTSTAMP:20220317T190247Z
CREATED:20220125T180406Z
LAST-MODIFIED:20220317T190247Z
UID:10002023-1646064900-1646068500@colleges.claremont.edu
SUMMARY:Applied Math Seminar -- Illia Karabash (IAMM of NAS of Ukraine and TU Dortmund)
DESCRIPTION:Title: Pareto optimization of resonances and optimal control methods \nAbstract: \nFirst successes in fabrication of high-Q optical cavities two decades ago led to active applied physics and numerical studies of optimization problems involving resonances. The questions is how to design an open resonator that has an eigenvalue as close as possible to the real line under certain constraints. The analytic spectral optimization theory for such types of non-Hermitian eigenproblems is still in the stage of development. It is planned to explain briefly why the Pareto optimization settings are natural for non-Hermitian spectral problems\, and how the associated nonlinear Euler-Lagrange eigenproblems can be rigorously derived for the case of resonances in 1-d photonic crystals. Then we concentrate on the recently developed optimal control approach of (Karabash\, Koch\, Verbytskyi `20) and show how it is related to Pareto frontiers and Hamilton-Jacobi-Bellman PDEs. An application of Pontryagin Maximum Principle and a special method of minimum-time shooting to a line of no-return will be also discussed.
URL:https://colleges.claremont.edu/ccms/event/applied-math-seminar-illia-karabash-tu-dortmund/
LOCATION:Emmy Noether Room\, Estella 1021\, Pomona College\,\, 610 N. College Ave.\, Claremont\, CA\, 91711\, United States
CATEGORIES:Applied Math Seminar
ORGANIZER;CN="Heather Zinn Brooks":MAILTO:hzinnbrooks@g.hmc.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20220214T161500
DTEND;TZID=America/Los_Angeles:20220214T171500
DTSTAMP:20220125T182526Z
CREATED:20220125T182526Z
LAST-MODIFIED:20220125T182526Z
UID:10002024-1644855300-1644858900@colleges.claremont.edu
SUMMARY:Applied Math Seminar -- Project Pitch Day
DESCRIPTION:
URL:https://colleges.claremont.edu/ccms/event/applied-math-seminar-project-pitch-day/
LOCATION:Emmy Noether Room\, Estella 1021\, Pomona College\,\, 610 N. College Ave.\, Claremont\, CA\, 91711\, United States
CATEGORIES:Applied Math Seminar
ORGANIZER;CN="Heather Zinn Brooks":MAILTO:hzinnbrooks@g.hmc.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20220207T161500
DTEND;TZID=America/Los_Angeles:20220207T171500
DTSTAMP:20220201T005247Z
CREATED:20220125T183035Z
LAST-MODIFIED:20220201T005247Z
UID:10002026-1644250500-1644254100@colleges.claremont.edu
SUMMARY:Applied Math Seminar -- Yunied Puig de Dios (CMC)
DESCRIPTION:Title: Modern techniques to approach the invariant subspace problem \nAbstract:  The invariant subspace problem is by far one of the most important problems in operator theory. It has been open for more than half a century\, and there are many significant contributions with a huge variety of techniques\, making this challenging problem so interesting; however the solution seems to be nowhere in sight. In this talk we are going to present a technique born in the 90’s and developed in the last two decades that has contributed tremendously to approach the invariant subspace problem\, becoming a very popular branch of operator theory and functional analysis\, called linear dynamics.
URL:https://colleges.claremont.edu/ccms/event/applied-math-seminar-yunied-puig-de-dios-cmc/
LOCATION:Emmy Noether Room\, Estella 1021\, Pomona College\,\, 610 N. College Ave.\, Claremont\, CA\, 91711\, United States
CATEGORIES:Applied Math Seminar
ORGANIZER;CN="Heather Zinn Brooks":MAILTO:hzinnbrooks@g.hmc.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20220131T161500
DTEND;TZID=America/Los_Angeles:20220131T171500
DTSTAMP:20220118T032454Z
CREATED:20220116T203846Z
LAST-MODIFIED:20220118T032454Z
UID:10001626-1643645700-1643649300@colleges.claremont.edu
SUMMARY:APPLIED MATH SEMINAR: Archetypal analysis by Professor Braxton Osting (University of Utah)
DESCRIPTION:Archetypal analysis is an unsupervised learning method that uses a convex polytope to summarize multivariate data. For fixed k\, the method finds a convex polytope with k vertices\, called archetype points\, such that the polytope is contained in the convex hull of the data and the mean squared distance between the data and the polytope is minimal. In this talk\, I’ll give an overview of the method and discuss connections to matrix factorization\, SVD/PCA\, and the k-means clustering method. I’ll discuss our recent results proving the consistency of archetypal analysis and describe probabilistic methods for approximate archetypal analysis. This is joint work with Ruijian Han\, Dong Wang\, Yiming Xu\, and Dominique Zosso.
URL:https://colleges.claremont.edu/ccms/event/applied-math-seminar-braxton-osting-university-of-utah/
LOCATION:CA
CATEGORIES:Applied Math Seminar
END:VEVENT
END:VCALENDAR