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“katrin kahlen”

Showing 1 - 12 of 12 results for “katrin kahlen”
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  • Mathematical Modeling and Simulation

    Introduction for Scientists and Engineers

    by Kai Velten, Dominik M. Schmidt, Katrin Kahlen ...
    Learn to use modeling and simulation methods to attack real-world problems, from physics to engineering, from life sciences to process engineeringReviews of the first edition (2009):"Perfectly fits introductory modeling courses [...] and is an enjoyable reading in the first place. Highly recommended [...]"Zentralblatt MATH, European Mathematical Society, 2009"This book differs from almost al... ... Read more

    $140.99 CAD

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  • Practical Linear Algebra for Data Science

    From Core Concepts to Applications Using Python

    by Mike X Cohen ...
    If you want to work in any computational or technical field, you need to understand linear algebra. As the study of matrices and operations acting upon them, linear algebra is the mathematical basis of nearly all algorithms and analyses implemented in computers. But the way it's presented in decades-old textbooks is much different from how professionals use linear algebra today to solve real-world ... Read more

    $67.99 CAD

  • Hands-On Mathematics for Deep Learning

    Build a solid mathematical foundation for training efficient deep neural networks

    by Jay Dawani ...
    A comprehensive guide to getting well-versed with the mathematical techniques for building modern deep learning architecturesKey FeaturesUnderstand linear algebra, calculus, gradient algorithms, and other concepts essential for training deep neural networksLearn the mathematical concepts needed to understand how deep learning models functionUse deep learning for solving problems related to vision, ... Read more

    $37.59 CAD or Free with Kobo Plus

  • Feature Extraction and Image Processing for Computer Vision

    by Mark Nixon ...
    Feature Extraction and Image Processing for Computer Vision is an essential guide to the implementation of image processing and computer vision techniques, with tutorial introductions and sample code in Matlab. Algorithms are presented and fully explained to enable complete understanding of the methods and techniques demonstrated. As one reviewer noted, "The main strength of the proposed book is ... Read more

    $71.99 CAD

  • Programming for Computations - MATLAB/Octave

    A Gentle Introduction to Numerical Simulations with MATLAB/Octave

    by Svein Linge, Hans Petter Langtangen ...
    Series series Mathematics and Statistics (R0)
    This book presents computer programming as a key method for solving mathematical problems. There are two versions of the book, one for MATLAB and one for Python. The book was inspired by the Springer book TCSE 6: A Primer on Scientific Programming with Python (by Langtangen), but the style is more accessible and concise, in keeping with the needs of engineering students. The book outlines the ... Read more

    Free

  • Practical Mathematics for AI and Deep Learning

    A Concise yet In-Depth Guide on Fundamentals of Computer Vision, NLP, Complex Deep Neural Networks and Machine Learning (English Edition)

    by Tamoghna Ghosh, Shravan Kumar Belagal Math ...
    To construct a system that may be referred to as having ‘Artificial Intelligence,’ it is important to develop the capacity to design algorithms capable of performing data-based automated decision-making in conditions of uncertainty. Now, to accomplish this goal, one needs to have an in-depth understanding of the more sophisticated components of linear algebra, vector calculus, probability, and ... Read more

    $21.99 CAD or Free with Kobo Plus

  • Data Assimilation Fundamentals

    A Unified Formulation of the State and Parameter Estimation Problem

    by Geir Evensen, Femke C. Vossepoel, Peter Jan van Leeuwen ...
    Series series Springer Textbooks in Earth Sciences, Geography and Environment
    This open-access textbook's significant contribution is the unified derivation of data-assimilation techniques from a common fundamental and optimal starting point, namely Bayes' theorem. Unique for this book is the "top-down" derivation of the assimilation methods. It starts from Bayes theorem and gradually introduces the assumptions and approximations needed to arrive at today's popular data ... Read more

    Free

  • Applied Geostatistics with SGeMS

    A User's Guide

    by Nicolas Remy, Jianbing Wu, Alexandre Boucher ...
    The Stanford Geostatistical Modeling Software (SGeMS) is an open-source computer package for solving problems involving spatially related variables. It provides geostatistics practitioners with a user-friendly interface, an interactive 3-D visualization, and a wide selection of algorithms. This practical book provides a step-by-step guide to using SGeMS algorithms. It explains the underlying ... Read more

    $65.99 CAD

  • Dancing with Qubits

    How quantum computing works and how it can change the world

    by Robert S. Sutor ...
    Explore the principles and practicalities of quantum computingKey FeaturesDiscover how quantum computing works and delve into the math behind it with this quantum computing textbookLearn how it may become the most important new computer technology of the centuryExplore the inner workings of quantum computing technology to quickly process complex cloud data and solve problemsBook DescriptionQuantum ... Read more

    $81.99 CAD or Free with Kobo Plus

  • A Wavelet Tour of Signal Processing

    The Sparse Way

    by Stephane Mallat ...
    Mallat's book is the undisputed reference in this field - it is the only one that covers the essential material in such breadth and depth. - Laurent Demanet, Stanford UniversityThe new edition of this classic book gives all the major concepts, techniques and applications of sparse representation, reflecting the key role the subject plays in today's signal processing. The book clearly presents the ... Read more

    $95.99 CAD

  • Numerical Methods

    Using MATLAB

    by George Lindfield, John Penny ...
    Numerical Methods using MATLAB, 3e, is an extensive reference offering hundreds of useful and important numerical algorithms that can be implemented into MATLAB for a graphical interpretation to help researchers analyze a particular outcome. Many worked examples are given together with exercises and solutions to illustrate how numerical methods can be used to study problems that have applications ... Read more

    $83.99 CAD

  • Essential MATLAB for Engineers and Scientists

    by Daniel T. Valentine, Brian H. Hahn ...
    The fifth edition of Essential MATLAB for Engineers and Scientists provides a concise, balanced overview of MATLAB's functionality that facilitates independent learning, with coverage of both the fundamentals and applications. The essentials of MATLAB are illustrated throughout, featuring complete coverage of the software's windows and menus. Program design and algorithm development are presented ... Read more

    $44.99 CAD