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# 
Author  Title  Accn#  Year  Item Type  Claims 
1 
Kantorovich, Lev 
Mathematics for Natural Scientists 
I12528 
2022 
Book 

2 
Milstein, Grigori N 
Stochastic Numerics for Mathematical Physics 
I11924 
2021 
eBook 

3 
Saravanan, Rajendran 
Solvable OneDimensional MultiState Models for Statistical and Quantum Mechanics 
I11908 
2021 
eBook 


1.


Title  Mathematics for Natural Scientists : Fundamentals and Basics 
Author(s)  Kantorovich, Lev 
Publication  Cham, 1. Imprint: Springer
2. Springer International Publishing, 2022. 
Description  XXIII, 768 p. 189 illus., 163 illus. in color : online resource 
Abstract Note  This book, now in a second revised and enlarged edition, covers a course of mathematics designed primarily for physics and engineering students. It includes all the essential material on mathematical methods, presented in a form accessible to physics students and avoiding unnecessary mathematical jargon and proofs that are comprehensible only to mathematicians. Instead, all proofs are given in a form that is clear and sufficiently convincing for a physicist. Examples, where appropriate, are given from physics contexts. Both solved and unsolved problems are provided in each section of the book. The second edition includes more on advanced algebra, polynomials and algebraic equations in significantly extended first two chapters on elementary mathematics, numerical and functional series and ordinary differential equations. Improvements have been made in all other chapters, with inclusion of additional material, to make the presentation clearer, more rigorous and coherent, and the number of problems has been increased at least twofold. Mathematics for Natural Scientists: Fundamentals and Basics is the first of two volumes. Advanced topics and their applications in physics are covered in the second volume the second edition of which the author is currently being working on 
ISBN,Price  9783030912222 
Keyword(s)  1. Applications of Mathematics
2. Chemometrics
3. Diseases
4. EBOOK
5. EBOOK  SPRINGER
6. ENGINEERING MATHEMATICS
7. Engineering???Data processing
8. Mathematical and Computational Engineering Applications
9. Mathematical Applications in Chemistry
10. Mathematical Methods in Physics
11. MATHEMATICAL PHYSICS
12. MATHEMATICS
13. Theoretical, Mathematical and Computational Physics

Item Type  Book 
MultiMedia Links
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Circulation Data
Accession#  
Call#  Status  Issued To  Return Due On  Physical Location 
I12528 


On Shelf 




2.


Title  Stochastic Numerics for Mathematical Physics 
Author(s)  Milstein, Grigori N;Tretyakov, Michael V 
Publication  Cham, Springer International Publishing, 2021. 
Description  XXV, 736 p. 33 illus : online resource 
Abstract Note  This book is a substantially revised and expanded edition reflecting major developments in stochastic numerics since the first edition was published in 2004. The new topics, in particular, include meansquare and weak approximations in the case of nonglobally Lipschitz coefficients of Stochastic Differential Equations (SDEs) including the concept of rejecting trajectories; conditional probabilistic representations and their application to practical variance reduction using regression methods; multilevel Monte Carlo method; computing ergodic limits and additional classes of geometric integrators used in molecular dynamics; numerical methods for FBSDEs; approximation of parabolic SPDEs and nonlinear filtering problem based on the method of characteristics. SDEs have many applications in the natural sciences and in finance. Besides, the employment of probabilistic representations together with the Monte Carlo technique allows us to reduce the solution of multidimensional problems for partial differential equations to the integration of stochastic equations. This approach leads to powerful computational mathematics that is presented in the treatise. Many special schemes for SDEs are presented. In the second part of the book numerical methods for solving complicated problems for partial differential equations occurring in practical applications, both linear and nonlinear, are constructed. All the methods are presented with proofs and hence founded on rigorous reasoning, thus giving the book textbook potential. An overwhelming majority of the methods are accompanied by the corresponding numerical algorithms which are ready for implementation in practice. The book addresses researchers and graduate students in numerical analysis, applied probability, physics, chemistry, and engineering as well as mathematical biology and financial mathematics 
ISBN,Price  9783030820404 
Keyword(s)  1. BIOMATHEMATICS
2. Chemometrics
3. Computational Science and Engineering
4. EBOOK
5. EBOOK  SPRINGER
6. ENGINEERING MATHEMATICS
7. Engineering???Data processing
8. Mathematical and Computational Biology
9. Mathematical and Computational Engineering Applications
10. Mathematical Applications in Chemistry
11. MATHEMATICAL PHYSICS
12. Mathematics in Business, Economics and Finance
13. Mathematics???Data processing
14. Social sciences???Mathematics
15. Theoretical, Mathematical and Computational Physics

Item Type  eBook 
MultiMedia Links
Please Click here for eBook
Circulation Data
Accession#  
Call#  Status  Issued To  Return Due On  Physical Location 
I11924 


On Shelf 




3.
 
Title  Solvable OneDimensional MultiState Models for Statistical and Quantum Mechanics 
Author(s)  Saravanan, Rajendran;Chakraborty, Aniruddha 
Publication  Singapore, Springer Nature Singapore, 2021. 
Description  XIX, 174 p. 94 illus., 44 illus. in color : online resource 
Abstract Note  This book highlights the need for studying multistate models analytically for understanding the physics of molecular processes. An intuitive picture about recently solved models of statistical and quantum mechanics is drawn along with presenting the methods developed to solve them. The models are relevant in the context of molecular processes taking place in gaseous phases and condensed phases, emphasized in the introduction. Chapter 1 derives the arisal of multistate models for molecular processes from the full Hamiltonian description. The model equations are introduced and the literature review presented in short. In Chapter 2, the timedomain methods to solve Smoluchowskibased reactiondiffusion systems with singlestate and twostate descriptions are discussed. Their corresponding analytical results derive new equilibrium concepts in reversible reactions and studies the effect of system and molecular parameters in condensedphase chemical dynamics. In Chapter 3, timedomain methods to solve quantum scattering problems are developed. Along side introducing a brand new solvable model in quantum scattering, it discusses transient features of quantum twostate models. In interest with electronic transitions, a new solvable twostate model with localized nonadiabatic coupling is also presented. The book concludes by proposing the future scope of the model, thereby inviting new research in this fundamentally important and rich applicable field 
ISBN,Price  9789811666544 
Keyword(s)  1. Chemometrics
2. EBOOK
3. EBOOK  SPRINGER
4. Mathematical Applications in Chemistry
5. MATHEMATICAL PHYSICS
6. MATHEMATICAL STATISTICS
7. Theoretical, Mathematical and Computational Physics

Item Type  eBook 
MultiMedia Links
Please Click here for eBook
Circulation Data
Accession#  
Call#  Status  Issued To  Return Due On  Physical Location 
I11908 


On Shelf 



 