The new and greatly expanded second edition of the highly popular Numerical Recipes in C features over 100 new routines …
Do you want easy access to the latest methods in scientific computing? This greatly expanded third edition of Numerical Recipes …
This is the greatly revised and greatly expanded Second Edition of the hugely popular Numerical Recipes: The Art of Scientific …
The product of a unique collaboration among four leading scientists in academic research and industry, Numerical Recipes is a complete …
This book is supposed to teach you methods of numerical computing which are practical, efficient, and (insofar as possible) elegant. …
After having had a bad result from other Ronald L. Graham, Erdos on Graphs : His Legacy of Unsolved Problems, …
Concrete Mathematics is a blending of CONtinuous and disCRETE mathematics. ''More concretely,'' the authors explain, ''it is the controlled manipulation …
Just as in its 1st edition, this book starts with illustrations of the ubiquitous character of optimization, and describes numerical …
Numerical Optimization presents a comprehensive and up-to-date description of the most effective methods in continuous optimization. It responds to the …
Although this book is out of date now, as an introduction the writing style is just about perfect and in …
I have to linearise a mathematical model for a Computational Fluid Dynamics problem. I have many books on CFD which …
Introduction to Formal Languages, Automata Theory and Computation presents the theoretical concepts in a concise and clear manner, with an …
The Mathematics of Secrets takes readers on a fascinating tour of the mathematics behind cryptography―the science of sending secret messages. …
Transactional Information Systems is the long-awaited, comprehensive work from leading scientists in the transaction processing field. Weikum and Vossen begin …
I have three texts in machine learning (Duda et. al, Bishop, and this one), and I can unequivocally say that, …
Data sets in large applications are often too massive to fit completely inside the computer's internal memory. The resulting input/output …
Build machine learning algorithms using graph data and efficiently exploit topological information within your modelsKey FeaturesImplement machine learning techniques and …
Advanced Data Science and Analytics with Python enables data scientists to continue developing their skills and apply them in business …
n network design, the gap between theory and practice is woefully broad. This book narrows it, comprehensively and critically examining …
Metaheuristics are widely used to solve important practical combinatorial optimization problems. Many new multicast applications emerging from the Internet-such as …
The Steiner tree problem is one of the most important combinatorial optimization problems. It has a long history that can …
How does Google sell ad space and rank webpages? How does Netflix recommend movies and Amazon rank products? How can …
Long employed in electrical engineering, the discrete Fourier transform (DFT) is now applied in a range of fields through the …
Like new; used less than a week in a semester.
This book builds on the important work done at the Center for Research on Parallel Computation and within the academic …
(Pearson Education) Explains STL, Standard Template Library, and how to use it. Offers STL programmes at varying levels of skill …
50 советов Мастера ПК- Фото-руководство, написано с целью дать каждому читателю иллюстрированное пошаговое направление к действию по устранению проблем с …
This book presents a unified treatment of linear programming. Without sacrificing mathematical rigor, the main emphasis of the book is …
This book presents an integrated collection of representative approaches for scaling up machine learning and data mining methods on parallel …
Algorithms increasingly run our lives. They find books, movies, jobs, and dates for us, manage our investments, and discover new …
From everyday apps to complex algorithms, Ruha Benjamin cuts through tech-industry hype to understand how emerging technologies can reinforce White …
Over the course of a generation, algorithms have gone from mathematical abstractions to powerful mediators of daily life. In evolving …
"a provocative new book" — The New York Times AI-centric organizations exhibit a new operating architecture, redefining how they create, …
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