**Peter Bühlmann, Sara van de Geer, "Statistics for High-Dimensional Data: Methods, Theory and Applications"**

English | 2011 | ISBN: 3642201911, 3642268579 | 576 pages | True PDF | 5.5 MB

English | 2011 | ISBN: 3642201911, 3642268579 | 576 pages | True PDF | 5.5 MB

English | 2016 | ISBN: 1119186846 | 160 pages | True PDF | 1.5 MB

by Sullivan, Michael; Miranda, Kathleen;

English | 2019 | ISBN: 1319248470 | 3665 pages | PDF | 213.93 MB

English | PDF,EPUB | 2021 | 300 Pages | ISBN : 3658346760 | 18 MB

This book follows a conversational approach in five dozen stories that provide an insight into the colorful world of financial mathematics and financial markets in a relaxed, accessible and entertaining form. The authors present various topics such as returns, real interest rates, present values, arbitrage, replication, options, swaps, the Black-Scholes formula and many more. The readers will learn how to discover, analyze, and deal with the many financial mathematical decisions the daily routine constantly demands.

English | PDF,EPUB | 2021 | 344 Pages | ISBN : 303062546X | 81.5 MB

Keeping students involved and actively learning is challenging. Instructors in computer science are aware of the cognitive value of modelling puzzles and often use logical puzzles as an efficient pedagogical instrument to engage students and develop problem-solving skills.

English | ISBN: 9814271144 | 2009 | 116 pages | PDF | 5 MB

English | PDF,EPUB | 2021 | 543 Pages | ISBN : 3030771385 | 43.3 MB

This book gathers together a novel collection of problems in mathematical analysis that are challenging and worth studying. They cover most of the classical topics of a course in mathematical analysis, and include challenges presented with an increasing level of difficulty. Problems are designed to encourage creativity, and some of them were especially crafted to lead to open problems which might be of interest for students seeking motivation to get a start in research.

English | PDF | 2021 | 78 Pages | ISBN : 3030890023 | 1.1 MB

This book gives a concise introduction to the classical theory of stochastic partial differential equations (SPDEs). It begins by describing the classes of equations which are studied later in the book, together with a list of motivating examples of SPDEs which are used in physics, population dynamics, neurophysiology, finance and signal processing. The central part of the book studies SPDEs as infinite-dimensional SDEs, based on the variational approach to PDEs. This extends both the classical Itô formulation and the martingale problem approach due to Stroock and Varadhan.

English | ISBN: 1608454959 | 2010 | 80 pages | PDF | 309 KB

Deutsch | 2010 | pages: 196 | ISBN: 3834812994 | PDF | 19,9 mb

English | August 19, 2011 | ISBN: 0262122855, 026251656X | PDF | 584 pages | 25.5 MB

English | June 16, 2006 | ISBN: 0262122820, 0262516551 | True EPUB/PDF | 504 pages | 7.9/15.2 MB

English | ISBN: 0521721490 | 2010 | 330 pages | PDF | 5 MB

English | November 11, 2021 | ISBN: 1316516075, 1009013696 | 180 pages | PDF | 3 MB

English | October 22nd, 2021 | ISBN: 126425833X | 592 pages | True EPUB | 61.86 MB

Study smarter and stay on top of your calculus course with the bestselling Schaum's Outline—now with the NEW Schaum's app and website!