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Foundations of Quantum Theory
From Classical Concepts to Operator Algebras...
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Digital Video Concepts, Methods, and Metrics
Quality, Compression, Performance, and Power Trade-off Analysis...
View Book →Introduction to Data Compression
Introduction to Data Compression, Fifth Edition, builds on the success of what is widely considered the best introduction and reference text on the art and science of data compression. Data compressio...
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Sensitivity Analysis: Matrix Methods in Demography and Ecology
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Russia's Turn to the East
Domestic Policymaking and Regional Cooperation...
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Optimizing HPC Applications with Intel Cluster Tools
Hunting Petaflops...
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Finite Difference Computing with PDEs
A Modern Software Approach...
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Language Technologies for the Challenges of the Digital Age
27th International Conference, GSCL 2017, Berlin, Germany, September 13-14, 2017, Proceedings...
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Problems in Classical Electromagnetism
157 Exercises with Solutions...
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Foundations of Machine Learning
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Interface Oral Health Science 2016
Innovative Research on Biosis–Abiosis Intelligent Interface...
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Error-Correction Coding and Decoding
Bounds, Codes, Decoders, Analysis and Applications...
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Vector Analysis for Computer Graphics
In my last book, Geometry for Computer Graphics, I employed a mixture of algebra and vector analysis to prove many of the equations used in computer graphics. At the time, I did not make any distincti...
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Programming Computer Vision with Python
Tools and algorithms for analyzing images...
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Introduction to Data Science
Data Analysis and Prediction Algorithms with R...
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Representation Learning for Natural Language Processing
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Algorithms for Decision Making
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Spatial Thinking in Planning Practice
An Introduction to GIS...
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Programming for Computations - Python
A Gentle Introduction to Numerical Simulations with Python 3.6...
View Book →SIAM Journal on Numerical Analysis
Contains research articles on the development and analysis of numerical methods, including their convergence, stability, and error analysis as well as related results in functional analysis and approx...
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Enhanced Living Environments
Algorithms, Architectures, Platforms, and Systems...
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Reinforcement Learning
Reinforcement Learning: A Practical Guide to Algorithms delves into the impactful world of reinforcement learning, a key branch of AI. Spanning over five decades, reinforcement learning has significan...
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The Rise and Fall of the Vector Epsilon Algorithm
No description available....
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Efficient Learning Machines
Theories, Concepts, and Applications for Engineers and System Designers...
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Ionospheric Multi-Spacecraft Analysis Tools
Approaches for Deriving Ionospheric Parameters...
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Ambisonics
A Practical 3D Audio Theory for Recording, Studio Production, Sound Reinforcement, and Virtual Reality...
View Book →The 1989 URSI International Symposium on Electromagnetic Theory
No description available....
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Data Parallel C++
Mastering DPC++ for Programming of Heterogeneous Systems using C++ and SYCL...
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Linear Selection Indices in Modern Plant Breeding
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View Book →Vectorization Algorithm for the Solution of Large, Sparse Triangular Systems of Equations
A new method is given for use with vector computers on applications that require multiple solutions with identically patterned triangular factors and different right-hand sides. A key feature is that ...
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Machine Learning Foundations
This book provides conceptual understanding of machine learning algorithms though supervised, unsupervised, and advanced learning techniques. The book consists of four parts: foundation, supervised le...
View Book →Vector Math for 3D Computer Graphics
This is a tutorial on vector algebra and matrix algebra from the viewpoint of computer graphics. It covers most vector and matrix topics needed for college-level computer graphics text books. Most gra...
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Pro TBB
C++ Parallel Programming with Threading Building Blocks...
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Emerging Multimedia Computer Communication Technologies
The most complete reference covering every type of emerging technology in multimedia computer communications....
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Solving PDEs in Python
The FEniCS Tutorial I...
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Annotated Algorithms in Python
With applications in Physics, Biology, and Finance...
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Markov Processes and Applications
Feaures include: Monte Carlo Method, discrete time Markov chains, Poisson processes and continous time jump Markov Processes; difussion rpocesses, mathematical finance and stochastic calculus....
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Fundamentals of Biomechanics
Equilibrium, Motion, and Deformation...
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Bayesian Methods in the Search for MH370
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Intel Xeon Phi Coprocessor Architecture and Tools
The Guide for Application Developers...
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International Symposium on Mathematics, Quantum Theory, and Cryptography
Proceedings of MQC 2019...
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Understanding Machine Learning
From Theory to Algorithms...
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Algorithms for the Vector Quantization of Images
No description available....
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Clinical Text Mining
Secondary Use of Electronic Patient Records...
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Support Vector Machine. Examples with MATLAB
In machine learning, support vector machines (SVMs, also support vector networks) are supervised learning models with associated learning algorithms that analyze data used for classification and regre...
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Intelligent Human Computer Interaction
9th International Conference, IHCI 2017, Evry, France, December 11-13, 2017, Proceedings...
View Book →CHIPS 2020 VOL. 2
The release of this second volume of CHIPS 2020 coincides with the 50th anniversary of Moore’s Law, a critical year marked by the end of the nanometer roadmap and by a significantly reduced annual r...
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Variant Construction from Theoretical Foundation to Applications
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Optimizing software in C++
An optimization guide for Windows, Linux and Mac platforms...
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Biodiversity and Health in the Face of Climate Change
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Fast Texture Based Algorithms for Vector Field Visualization
No description available....
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Algorithmic Graph Theory and Sage
...
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Fractional Graph Theory
A Rational Approach to the Theory of Graphs...
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Physical (A)Causality
Determinism, Randomness and Uncaused Events...
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Software for Exascale Computing - SPPEXA 2016-2019
...
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Analysis for Computer Scientists
Foundations, Methods, and Algorithms...
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Statistics with Julia
Fundamentals for Data Science, Machine Learning and Artificial Intelligence...
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Signal Computing
Digital Signals in the Software Domain...
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