
Partial Differential Equations Theory - Skubachevskii, Alexander Leonidovich
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\nWritten for any motivated reader with a high-school knowledge of mathematics, and the discipline to follow logical…
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This graduate level textbook provides encyclopedic treatment of linear algebra theory, both classical and modern. This new…
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The book is an introductory textbook mainly for students of computer science and mathematics. Its guiding phrase is what…
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An integrated presentation of theory, applications and algorithms that demonstrates how useful simple stochastic (random)…
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Explains the basic ideas of association and regression, taking you through the current models that link these ideas to…
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![Matematika Linear Algebra Ii: Advanced Topics For Applications - Murota, Kazuo [EN] (2022, Brožovaná, World Scientific Publishing Co Pte Ltd)](/img/image-placeholder.png)
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\nThis book is intended as a one-semester course in general topology, a.k.a. point-set topology, for undergraduate students…
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Representation theory studies maps from groups into the general linear group of a finite-dimensional vector space.…
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With a fresh geometric approach that incorporates more than 250 illustrations, this title sets itself apart from all others…
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Geometry, literally, measuring the earth, aims to describe the world around us. It is central to many branches of…
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\nThis new edition of Modern Fortran Explained provides a clear and thorough description of the latest version of Fortran,…
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![Matematika A First Course in Ergodic Theory - Dajani, Karma (Utrecht University, The Netherlands); Kalle, Charlene (Leiden University, The Netherlands) [EN] (2023, Brožovaná, Taylor & Francis Ltd)](/img/image-placeholder.png)
\nThis book provides readers with an introductory course in Ergodic Theory. This textbook has been developed from the…
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\nStatistics and Data Visualisation with Python aims to build statistical knowledge from the ground up by enabling the…
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![Matematika Computational Partial Differential Equations Using MATLAB (R) - Li, Jichun (University of Nevada, Las Vegas, USA); Chen, Yi-Tung (University of Nevada, Las Vegas, USA) [EN] (2023, Brožovaná, Taylor & Francis Ltd)](/img/image-placeholder.png)
\nIn this popular text for an Numerical Analysis course, the authors introduce several major methods of solving various…
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\nCan you really keep your eye on the ball? How is massive data collection changing sports?Mathematical sports courses are…
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\nA thorough revision of a popular text in combinatorial game theory, this second edition reorganizes presentation to make…
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\nPart one of a two-volume introduction to real analysis. The emphasis is on rigour and on foundations. The material starts…
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The text material evolved from over 50 years of combined teaching experience it deals with a formulation and application of…
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This book presents four lectures on recent research in commutative algebra and its applications to algebraic geometry. The…
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An introduction to category theory as a rigorous, flexible, and coherent modeling language that can be used across the…
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An advanced-level textbook on Bayesian statisitics primarily aimed at students in the cognitive, behavioral, and social…
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\nLearning Data Science is the first book to cover foundational skills in both programming and statistics that encompass the…
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This complete entry-level textbook from leading authors gives students the confidence they need to succeed in core…
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\nAs the open-source and free alternative to expensive software, Sage offers anyone with a web browser the ability to use…
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\nCalculus Set Free: Infinitesimals to the Rescue is a single-variable calculus textbook that incorporates the use of…
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Using everyday examples to demystify probability, this classic is now in its third edition with new chapters, exercises and…
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\nThis book introduces readers to the art of doing mathematical proofs.\n…
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\nThe book, \"Python - A Practical Learning Approach,\" exemplifies Python\'s simplicity and versatility with numerous…
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\nThe purpose of the book is to direct the attention of readers who have an interest in and talent for mathematics to…
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![Matematika Feature Engineering and Selection - Kuhn, Max [EN] (2021, Brožovaná, Taylor & Francis Ltd)](/img/image-placeholder.png)
\nThe process of developing predictive models includes many stages. Most resources focus on the modeling algorithms but…
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While the first part is suitable for an introductory course at undergraduate level, the additional topics covered in the…
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\nDiscussing changes over the last two decades, this book represents an up-to-date treatment of superfluidity. It covers new…
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This book offers a collection of historical essays detailing a large variety of mathematical disciplines and issues; it's…
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In this fully updated and expanded second edition, Carol Grbich provides a guide through current issues in the analysis of…
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Easily accessible Includes recent developmentsAssumes very little knowledge of differentiable manifolds and functional…
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A best-seller in its French edition, this book details 150 problems, spanning on seven families of algorithms. For each…
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This book is designed for students pursuing undergraduate studies in mathematics or disciplines like physics, economics, and…
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This best-selling book remains the most popular stand-alone text for Advanced Level Statistics. It covers the AS and A2…
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An Introduction to Mathematical Cryptography…
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\nThis title forms part of the completely new Mathematics for the IB Diploma series.\n…
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\nThis easy-to-cite handbook gives the first systematic treatment of the (co)end calculus, a powerful tool for clarifying…
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