400 rezultatov
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Interpolatory Methods for Model Reduction(2020) ANTOULAS, ATHANASIOS C.Interpolatory methods are among the most widely used model reduction techniques. This book is the first comprehensive analysis of this approach available in a single, extensive resource. It covers both classical projection frameworks for model reduction aVezava: Mehka131,33 € -
Introduction to Unconstrained Optimization with R(2020) MISHRA, SHASHI KANT,RAM, BHAGWATThe book highlights methods such as the steepest descent method, Newton method, conjugate direction method, conjugate gradient methods, quasi-Newton methods, rank one correction formula, DFP method, BFGS method and their algorithms, convergence analysis,Vezava: Trda68,89 € -
One-Dimensional Finite Elements(2018) OCHSNER, ANDREAS,MERKEL, MARKUSThis textbook presents finite element methods using exclusively one-dimensional elements.Vezava: Trda122,49 € -
Algorithms for a New World(2022) QUARTERONI, ALFIOCovid-19 has shown us the importance of mathematical and statistical models to interpret reality, provide forecasts, and explore future scenarios. Algorithms, artificial neural networks, and machine learning help us discover the opportunities and pitfalVezava: Mehka33,25 € -
Multivariate Data Analysis on Matrix Manifolds(2021) TRENDAFILOV, NICKOLAY,GALLO, MICHELEUnlike similar texts, it treats the MDA problems as optimization problems on matrix manifolds defined by the MDA model parameters, allowing them to be solved using (free) optimization software Manopt.Vezava: Trda68,89 € -
Mathematical Foundations for Data Analysis(2021) PHILLIPS, JEFF M.This textbook, suitable for an early undergraduate up to a graduate course, provides an overview of many basic principles and techniques needed for modern data analysis.Vezava: Trda76,55 € -
Remarkable Lives of Numbers(2020) NIEDERMAN, DERRICKPacked with illustrations, amusing facts, puzzles, brainteasers and anecdotes - an enthralling and thought-provoking numerical voyage through the history of mathematics. A must-have for trivia addicts, maths-lovers and even numberphobes.Vezava: Mehka14,01 € -
Singularly Perturbed Methods for Nonlinear Elliptic Problems(2021) CAO, DAOMIN (CHINESE ACADEMY OF SCIENCES, BEIJING),PENG, SHUANGJIE,YAN, SHUSENThis book introduces singularly perturbed methods in a self-contained manner by investigating two relatively simple but typical non-compact elliptic problems. Avoiding using too many sophisticated estimates, this book is written for PhD students and junioVezava: Trda110,25 € -
Probabilistic Numerics(2022) HENNIG, PHILIPP (EBERHARD-KARLS-UNIVERSITAT TUBINGEN, GERMANY),OSBORNE, MICHAEL A. (UNIVERSITY OF OXFORD),KERSTING, HANS P. (ECOLE NORMALE SUPERIEURE, PARIS)This text provides a first comprehensive introduction to probabilistic numerics, aimed at Masters' and PhD students, as well as postgraduate researchers in artificial intelligence, computer science, statistics, and applied mathematics. It contains extensiVezava: Trda99,75 € -
Causal Inference for Statistics, Social, and Biomedical Sciences: An Introduction(2015) GUIDO W. IMBENSVezava: Trda91,00 € -
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Oxford IB Diploma Programme: IB Mathematics: analysis and approaches, Higher Level, Print and Enhanced Online Course Book Pack(2020) MARLENE TORRES SKOUMALVezava: Mehka87,44 € -
