Zbirka: Numerična matematika
520 rezultatov
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Visible Maths - Using representations and structure to enhance mathematics teaching in schools()Vezava:28,70 €
Visible Maths - Using representations and structure to enhance mathematics teaching in schools
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Inverse Problems and Data Assimilation(2023) SANZ-ALONSO, DANIEL (UNIVERSITY OF CHICAGO),STUART, ANDREW (CALIFORNIA INSTITUTE OF TECHNOLOGY),TAEB, ARMEEN (UNIVERSITY OF WASHINGTON)This concise introduction covers inverse problems and data assimilation, before exploring their inter-relations. Suitable for both classroom teaching and self-guided study, it is aimed at advanced undergraduates and beginning graduate students in mathematVezava: Mehka55,11 €
SANZ-ALONSO, DANIEL (UNIVERSITY OF CHICAGO),STUART, ANDREW (CALIFORNIA INSTITUTE OF TECHNOLOGY),TAEB, ARMEEN (UNIVERSITY OF WASHINGTON)
Inverse Problems and Data Assimilation
This concise introduction covers inverse problems and data assimilation, before exploring their inter-relations. Suitable for both classroom teaching and self-guided study, it is aimed at advanced undergraduates and beginning graduate students in mathemat
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Cambridge International AS & A Level Mathematics: Probability & Statistics 2 Practice Book()Vezava:26,18 €
Cambridge International AS & A Level Mathematics: Probability & Statistics 2 Practice Book
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Data-Driven Modeling & Scientific Computation: Methods for Complex Systems & Big Data(2013) NATHAN J. KUTZVezava: Mehka79,71 €
NATHAN J. KUTZ
Data-Driven Modeling & Scientific Computation: Methods for Complex Systems & Big Data
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Options and Derivatives Programming in C++20(2020) OLIVEIRA, CARLOSAlgorithms and Programming Techniques for the Financial IndustryVezava: Mehka83,95 €
OLIVEIRA, CARLOS
Options and Derivatives Programming in C++20
Algorithms and Programming Techniques for the Financial Industry
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Sparse Polynomial Approximation of High-Dimensional Functions(2022) ADCOCK, BEN,BRUGIAPAGLIA, SIMONE,WEBSTER, CLAYTON G.Provides an in-depth treatment of sparse polynomial approximation methods. These methods have emerged as useful tools for various high-dimensional approximation tasks arising in a range of applications in computational science and engineering.Vezava: Mehka163,01 €
ADCOCK, BEN,BRUGIAPAGLIA, SIMONE,WEBSTER, CLAYTON G.
Sparse Polynomial Approximation of High-Dimensional Functions
Provides an in-depth treatment of sparse polynomial approximation methods. These methods have emerged as useful tools for various high-dimensional approximation tasks arising in a range of applications in computational science and engineering.
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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: Mehka143,52 €
ANTOULAS, ATHANASIOS C.
Interpolatory Methods for Model Reduction
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 a
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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: Trda68,68 €
MISHRA, SHASHI KANT,RAM, BHAGWAT
Introduction to Unconstrained Optimization with R
The 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,
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Symmetry Breaking for Representations of Rank One Orthogonal Groups II(2018) KOBAYASHI, TOSHIYUKI,SPEH, BIRGITVezava: Mehka22,96 €
KOBAYASHI, TOSHIYUKI,SPEH, BIRGIT
Symmetry Breaking for Representations of Rank One Orthogonal Groups II
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Algorithms for a New World - When Big Data and Mathematical Models Meet(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: Mehka33,06 €
QUARTERONI, ALFIO
Algorithms for a New World - When Big Data and Mathematical Models Meet
Covid-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 pitfal
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Differentiability in Banach Spaces, Differential Forms and Applications(2021) DORIA, CELSO MELCHIADESThis book is divided into two parts, the first one to study the theory of differentiable functions between Banach spaces and the second to study the differential form formalism and to address the Stokes' Theorem and its applications.Vezava: Trda52,47 €
DORIA, CELSO MELCHIADES
Differentiability in Banach Spaces, Differential Forms and Applications
This book is divided into two parts, the first one to study the theory of differentiable functions between Banach spaces and the second to study the differential form formalism and to address the Stokes' Theorem and its applications.
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Multivariate Data Analysis on Matrix Manifolds - (with Manopt)(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: Trda68,68 €
TRENDAFILOV, NICKOLAY,GALLO, MICHELE
Multivariate Data Analysis on Matrix Manifolds - (with Manopt)
Unlike 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.
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Data Science for Public Policy(2021) CHEN, JEFFREY C.,RUBIN, EDWARD A.,CORNWALL, GARY J.This textbook presents the essential tools and core concepts of data science to public officials, policy analysts, and economists among others in order to further their application in the public sector.Vezava: Trda83,95 €
CHEN, JEFFREY C.,RUBIN, EDWARD A.,CORNWALL, GARY J.
Data Science for Public Policy
This textbook presents the essential tools and core concepts of data science to public officials, policy analysts, and economists among others in order to further their application in the public sector.
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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: Trda76,31 €
PHILLIPS, JEFF M.
Mathematical Foundations for Data Analysis
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.
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