Mathematica beyond mathematics, Sanchez Leon, Jose Guillermo
Старое издание
Автор: Jose Guillermo,.Sanchez Leon Название: Mathematica Beyond Mathematics ISBN: 149879629X ISBN-13(EAN): 9781498796293 Издательство: Taylor&Francis Цена: 10258.00 р. Наличие на складе: Поставка под заказ. Описание: Although many books have been written about Mathematica, very few of them cover the new functionality added to the most recent versions of the program. Mathematica Beyond Mathematics: The Wolfram Language in the Real World introduces the new features using real-world examples, based on the experience of the author as a consultant. In the process, you will also learn more about the Wolfram Language and how you can use it to solve a wide variety of problems. The author raises questions from a wide range of topics and answers them by taking full advantage of Mathematica's latest features. For example; What sources of energy does the world really use? How can we calculate tolerance limits in manufacturing processes? Are our cities getting warmer? Is the novel El Quijote written in Pi? How can we find planets outside our solar system?
Автор: Sung Название: Algorithms in Bioinformatics ISBN: 1420070339 ISBN-13(EAN): 9781420070330 Издательство: Taylor&Francis Рейтинг: Цена: 13779.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Presents an introduction to the algorithmic techniques applied in bioinformatics. For each topic, this title details the biological motivation, defines the corresponding computational problems, and includes examples to illustrate each algorithm.
Автор: Mias Название: Mathematica for Bioinformatics ISBN: 3319723766 ISBN-13(EAN): 9783319723761 Издательство: Springer Рейтинг: Цена: 25155.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
1 Introduction to Bioinformatics
1.1 Principles of Genomics
1.2 Beyond the Genomes: Multiple Omics
1.3 Systems and Networks
1.4 Bioinformatics in modern genetics
2. A Mathematica Primer for Bioinformaticians
2.1 Getting Started
2.2 Variables
2.3 Lists
2.4 Functions
2.4 Importing and Exporting Data
2.5 Graphics
2.6 Associations and Query
2.7 Wolfram Alpha
2.8 Wolfram Language Resources
3. Statistics for Genomic Analysis
3.1 Probability
3.2 Distributions
3.3 Hypotheses
3.4 Parametric Testing
3.5 Non-parametric Testing
3.6 Markov Chains
3.7 Exploratory Data Analysis
4. Genomic Sequences
4.1 Sequence Alignments
4.2 Pairwise Alignment
4.3 Dynamic Programming
4.4 Processing Sequencing Files
5. Databases
5.1 Connecting to Databases
5.2 UCSC Browser and MySQL
5.3 Gene Ontology Annotations
5.4 Biological Pathways
5.5 Genomic Medicine Data Sources
6. Transcriptomics
6.1 Transcriptomic Data
6.2 Quality Control
6.3 Normalization
6.4 Differential Gene Expression
6.5 Visualization
6.6 Classification and Biological Significance
7. Proteomics
7.1 Proteomics Data
7.2 Spectral Visualization
7.3 Quality Control
7.4 Normalization
7.5 Differential Protein Expression
7.6 Visualization
8. Metabolomics
8.1 Metabolomics Data
8.2 Metabolomics Databases
8.3 Metabolomics Data Analysis
8.4 Putative Identification of Compounds
8.5 Clustering and Principal Co
mponents Analysis
9. Systems Biology
9.1 Introduction to Systems Biology
9.2 Basic Models
9.3 Visualization of Data
9.4 Beyond Basic Models
10. Networks
10.1 Introduction to Network Analysis
10.2 Basic Network Construction
10.3 Network Properties
10.4 Network Comparison
10.5 Scale Free Networks
11. Time Series Analysis
11.1 Introduction to Time Series
11.2 Regularly Sampled Time Series
11.3 Frequency Representation of Longitudinal Data
11.4 Uneven Sampling
12. Omics Integration and Systems Medicine
12.1 Introduction to Multiple Omics Integration
12.2 Systems Medicine Approaches
12.3 Example Integration of Omics Datasets
13. Bioinformatics Development with Mathematica
13.1 Introduction to Pa
ckages
13.2 Creating a Simple Bioinformatics Package
13.3 Dynamics, Manipulate and Interactive Interfaces
Автор: Nicholas L. Georgakopoulos Название: Illustrating Finance Policy with Mathematica ISBN: 3030070220 ISBN-13(EAN): 9783030070229 Издательство: Springer Рейтинг: Цена: 11878.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Students in various disciplines—from law and government to business and health policy—need to understand several quantitative aspects of finance (such as the capital asset pricing model or financial options) and policy analysis (e.g., assessing the weight of probabilistic evidence) but often have little quantitative background. This book illustrates those phenomena and explains how to illustrate them using the powerful visuals that computing can produce. Of particular interest to graduate students and scholars in need of sharper quantitative methods, this book introduces the reader to Mathematica, enables readers to use Mathematica to produce their own illustrations, and places specific emphasis on finance and policy as well as the foundations of probability theory.
Автор: George Mias Название: Mathematica for Bioinformatics ISBN: 3030101924 ISBN-13(EAN): 9783030101923 Издательство: Springer Рейтинг: Цена: 25155.00 р. Наличие на складе: Поставка под заказ.
Описание: This book offers a comprehensive introduction to using Mathematica and the Wolfram Language for Bioinformatics. The chapters build gradually from basic concepts and the introduction of the Wolfram Language and coding paradigms in Mathematica, to detailed worked examples derived from typical research applications using Wolfram Language code. The coding examples range from basic sequence analysis, accessing genomic databases, differential gene expression, and machine learning implementations to time series analysis of longitudinal omics experiments, multi-omics integration and building dynamic interactive bioinformatics tools using the Wolfram Language. The topics address the daily bioinformatics needs of a broad audience: experimental users looking to understand and visualize their data, beginner bioinformaticians acquiring coding expertise in providing biological research solutions, and practicing expert bioinformaticians working on omics who wish to expand their toolset to include the Wolfram Language.
Автор: Alexander A. Kovalevsky, Igor I. Skrypnik, Andrey E. Shishkov Название: Singular Solutions of Nonlinear Elliptic and Parabolic Equations ISBN: 3110315483 ISBN-13(EAN): 9783110315486 Издательство: Walter de Gruyter Цена: 33463.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This monograph looks at several trends in the investigation of singular solutions of nonlinear elliptic and parabolic equations. It discusses results on the existence and properties of weak and entropy solutions for elliptic second-order equations and some classes of fourth-order equations with L1-data and questions on the removability of singularities of solutions to elliptic and parabolic second-order equations in divergence form. It looks at localized and nonlocalized singularly peaking boundary regimes for different classes of quasilinear parabolic second- and high-order equations in divergence form.The book will be useful for researchers and post-graduate students that specialize in the field of the theory of partial differential equations and nonlinear analysis.Contents:ForewordPart I: Nonlinear elliptic equations with L^1-dataNonlinear elliptic equations of the second order with L^1-dataNonlinear equations of the fourth order with strengthened coercivity and L^1-dataPart II: Removability of singularities of the solutions of quasilinear elliptic and parabolic equations of the second orderRemovability of singularities of the solutions of quasilinear elliptic equationsRemovability of singularities of the solutions of quasilinear parabolic equationsQuasilinear elliptic equations with coefficients from the Kato classPart III: Boundary regimes with peaking for quasilinear parabolic equationsEnergy methods for the investigation of localized regimes with peaking for parabolic second-order equationsMethod of functional inequalities in peaking regimes for parabolic equations of higher ordersNonlocalized regimes with singular peakingAppendix: Formulations and proofs of the auxiliary resultsBibliography
Автор: Chaitin Название: Goedel`s Way ISBN: 1138442062 ISBN-13(EAN): 9781138442061 Издательство: Taylor&Francis Рейтинг: Цена: 29093.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book illustrates how the ideal of servant leadership can be applied in your school today. With real-life scenarios, discussions, and self assessments, this book gives practical suggestions to help you develop into a caring and effective servant leader.
Описание: This volume focuses on contributions from both the mathematics and life science community surrounding the concepts of time and dynamicity of nature, two significant elements which are often overlooked in modeling process to avoid exponential computations. The book is divided into three distinct parts: dynamics of genomes and genetic variation, dynamics of motifs, and dynamics of biological networks. Chapters included in dynamics of genomes and genetic variation analyze the molecular mechanisms and evolutionary processes that shape the structure and function of genomes and those that govern genome dynamics. The dynamics of motifs portion of the volume provides an overview of current methods for motif searching in DNA, RNA and proteins, a key process to discover emergent properties of cells, tissues, and organisms. The part devoted to the dynamics of biological networks covers networks aptly discusses networks in complex biological functions and activities that interpret processes in cells. Moreover, chapters in this section examine several mathematical models and algorithms available for integration, analysis, and characterization. Once life scientists began to produce experimental data at an unprecedented pace, it become clear that mathematical models were necessary to interpret data, to structure information with the aim to unveil biological mechanisms, discover results, and make predictions. The second annual “Bringing Maths to Life” workshop held in Naples, Italy October 2015, enabled a bi-directional flow of ideas from and international group of mathematicians and biologists. The venue allowed mathematicians to introduce novel algorithms, methods, and software that may be useful to model aspects of life science, and life scientists posed new challenges for mathematicians.
Автор: Zazzu Valeria, Ferraro Maria Brigida, Guarracino Mario R. Название: Mathematical Models in Biology: Bringing Mathematics to Life ISBN: 3319794922 ISBN-13(EAN): 9783319794921 Издательство: Springer Рейтинг: Цена: 6986.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: In depth discussions of the mathematical analysis required to extract insights from complex bodies of biological datasets, to aid development in the field novel algorithms, methods and software tools for genetic variability, molecular dynamics, and complex biological systems are presented in this book.
Автор: Rogato Alessandra, Zazzu Valeria, Guarracino Mario Название: Dynamics of Mathematical Models in Biology: Bringing Mathematics to Life ISBN: 3319833588 ISBN-13(EAN): 9783319833583 Издательство: Springer Рейтинг: Цена: 6986.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This volume focuses on contributions from both the mathematics and life science community surrounding the concepts of time and dynamicity of nature, two significant elements which are often overlooked in modeling process to avoid exponential computations. The book is divided into three distinct parts: dynamics of genomes and genetic variation, dynamics of motifs, and dynamics of biological networks. Chapters included in dynamics of genomes and genetic variation analyze the molecular mechanisms and evolutionary processes that shape the structure and function of genomes and those that govern genome dynamics. The dynamics of motifs portion of the volume provides an overview of current methods for motif searching in DNA, RNA and proteins, a key process to discover emergent properties of cells, tissues, and organisms. The part devoted to the dynamics of biological networks covers networks aptly discusses networks in complex biological functions and activities that interpret processes in cells. Moreover, chapters in this section examine several mathematical models and algorithms available for integration, analysis, and characterization. Once life scientists began to produce experimental data at an unprecedented pace, it become clear that mathematical models were necessary to interpret data, to structure information with the aim to unveil biological mechanisms, discover results, and make predictions. The second annual “Bringing Maths to Life” workshop held in Naples, Italy October 2015, enabled a bi-directional flow of ideas from and international group of mathematicians and biologists. The venue allowed mathematicians to introduce novel algorithms, methods, and software that may be useful to model aspects of life science, and life scientists posed new challenges for mathematicians.
Автор: Anil Gore; S.A. Paranjpe Название: A Course in Mathematical and Statistical Ecology ISBN: 9048156165 ISBN-13(EAN): 9789048156160 Издательство: Springer Рейтинг: Цена: 12577.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: A Course in Mathematical and Statistical Ecology
Описание: Classical Mechanics: a Computational Approach provides a contemporary introduction to classical mechanics. As well as providing clear and thorough coverage of key topics, this book includes integrated treatment of computation.
Описание: What every neuroscientist should know about the mathematical modeling of excitable cells. Combining empirical physiology and nonlinear dynamics, this text provides an introduction to the simulation and modeling of dynamic phenomena in cell biology and neuroscience. It introduces mathematical modeling techniques alongside cellular electrophysiology. Topics include membrane transport and diffusion, the biophysics of excitable membranes, the gating of voltage and ligand-gated ion channels, intracellular calcium signalling, and electrical bursting in neurons and other excitable cell types. It introduces mathematical modeling techniques such as ordinary differential equations, phase plane, and bifurcation analysis of single-compartment neuron models. With analytical and computational problem sets, this book is suitable for life sciences majors, in biology to neuroscience, with one year of calculus, as well as graduate students looking for a primer on membrane excitability and calcium signalling.
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