Search Results - (((((((ante OR want) OR mantis) OR when) OR cantor) OR anne) OR share) OR hints) algorithms.

  1. 421

    FX barrier options : a comprehensive guide for industry quants by Dadachanji, Zareer

    Published 2015
    Table of Contents: “…Stupid; 4.10 Five things we want from a model; 4.11 Stochastic volatility (SV) models; 4.11.1 SABR model; 4.11.2 Heston model; 4.12 Mixed local/stochastic volatility (lsv) models; 4.12.1 Term structure of volatility of volatility; 4.13 Other models and methods; 4.13.1 Uncertain Volatility (UV) models; 4.13.2 Jump-diffusion models; 4.13.3 Vanna-volga methods; 5 Smile Risk Management; 5.1 Black-Scholes with term structure; 5.2 Local volatility model; 5.3 Spot risk under smile models; 5.4 Theta risk under smile models; 5.5 Mixed local/stochastic volatility models; 5.6 Static hedging; 5.7 Managing risk across businesses; 6 Numerical Methods; 6.1 Finite-difference (FD) methods; 6.1.1 Grid geometry; 6.1.2 Finite-difference schemes; 6.2 Monte Carlo (MC) methods; 6.2.1 Monte Carlo schedules; 6.2.2 Monte Carlo algorithms; 6.2.3 Variance reduction; 6.2.4 The Brownian Bridge; 6.2.5 Early…”
    Full text (MFA users only)
    Electronic eBook
  2. 422

    Deep Learning with TensorFlow : Explore neural networks and build intelligent systems with Python, 2nd Edition. by Zaccone, Giancarlo

    Published 2018
    Table of Contents: “…; Artificial neural networks; The biological neurons; The artificial neuron; How does an ANN learn?; ANNs and the backpropagation algorithm; Weight optimization; Stochastic gradient descent; Neural network architectures; Deep Neural Networks (DNNs); Multilayer perceptron; Deep Belief Networks (DBNs).…”
    Full text (MFA users only)
    Electronic eBook
  3. 423

    Parallel Programming with Python. by Palach, Jan

    Published 2014
    Table of Contents: “…; Exploring common forms of parallelization; Communicating in parallel programming; Understanding shared state; Understanding message passing; Identifying parallel programming problems; Deadlock; Starvation; Race conditions; Discovering Python's parallel programming tools; The Python threading module; The Python multiprocessing module.…”
    Full text (MFA users only)
    Electronic eBook
  4. 424

    Environmental modeling with GIS

    Published 2010
    Table of Contents: “…Mapping of the Dust Emission Sources -- 6.2. Sharing Data between Dispersion Modeling Tools and GIS -- 6.3. …”
    Full text (MFA users only)
    Electronic eBook
  5. 425

    Advanced Artificial Intelligence.

    Published 2011
    Table of Contents: “…3.9 Influence-based Backjumping3.10 Constraint Relation Processing; 3.10.1 Unit Sharing Strategy for Identical Relation; 3.10.2 Interval Propagation; 3.10.3 Inequality Graph; 3.10.4 Inequality Reasoning; 3.11 Constraint Reasoning System COPS; 3.12 ILOG Solver; Exercise; Chapter 4 Qualitative Reasoning; 4.1 Introduction; 4.2 Basic approaches in qualitative reasoning; 4.3 Qualitative Model; 4.4 Qualitative Process; 4.5 Qualitative Simulation Reasoning; 4.5.1 Qualitative state transformation; 4.5.2 QSIM algorithm; 4.6 Algebra Approach; 4.7 Spatial Geometric Qualitative Reasoning.…”
    Full text (MFA users only)
    Electronic eBook
  6. 426

    W.C. McKern and the Midwestern Taxonomic Method by Lyman, R. Lee

    Published 2003
    Full text (MFA users only)
    Electronic eBook
  7. 427
  8. 428

    Learning OpenCV 3 Application Development. by Datta, Samyak

    Published 2016
    Full text (MFA users only)
    Electronic eBook
  9. 429

    Handbook of exchange rates

    Published 2012
    Table of Contents: “…Statistical and Economic Methods for Evaluating Exchange Rate Predictability -- 9. When Are Pooled Panel-Data Regression Forecasts of Exchange Rates More Accurate than the Time-Series Regression Forecasts? …”
    Full text (MFA users only)
    Electronic eBook
  10. 430

    Conversations on violence : an anthology

    Published 2021
    Table of Contents: “…The Expulsion of Humanity -- Saskia Sassen -- 11. When Art is Born of Resistance -- Martha Rosler -- 12. …”
    Full text (MFA users only)
    Electronic eBook
  11. 431

    Mastering D3.js. by Castillo, Pablo Navarro

    Published 2014
    Full text (MFA users only)
    Electronic eBook
  12. 432
  13. 433

    System : the shaping of modern knowledge by Siskin, Clifford

    Published 2016
    Table of Contents: “…7 SECRETLY SEEKING SYSTEM-INSTITUTING THE SOCIAL -- SUBJECTS FOR SYSTEMS-"THE PROSCRIBED LITTLE PERSONAGE-I" -- THE "CHARACTER OF MEMBERS"-CLUBS AS INTERFACES -- SYSTEM INCARNATE-DANCING INTO MODERNITY -- CODA -- Re:ENLIGHTENMENT (ALGORITHMICALLY ENHANCED SYSTEMS) -- "THE WHOLE ENCHILADA" -- THE PERSISTENCE OF SYSTEM -- APPENDIX A: NOTES ON VISUALIZATION -- THE SCATTER PLOTS -- THE TECTONIC DIAGRAMS -- TECHNICAL NOTES -- APPENDIX B: TITLES CONTAINING ESSAY(S) IN THE PLURAL VERSUS THE SINGULAR -- NOTES -- PROLOGUE -- CHAPTER 1 -- CHAPTER 2 -- CHAPTER 3 -- CHAPTER 4 -- CHAPTER 5 -- CHAPTER 6 -- CHAPTER 7 -- CODA -- REFERENCES -- INDEX.…”
    Full text (MFA users only)
    Electronic eBook
  14. 434

    Complexity : a guided tour by Mitchell, Melanie (Computer scientist)

    Published 2009
    Full text (MFA users only)
    Electronic eBook
  15. 435

    Dermatologic principles and practice in oncology : conditions of the skin, hair, and nails in cancer patients

    Published 2013
    Table of Contents: “…Borovicka, Jennifer R.S. Gordon, Ann Cameron Haley, Nicole E. Larson and Dennis P. …”
    Full text (MFA users only)
    Electronic eBook
  16. 436
  17. 437

    Deep Learning Quick Reference : Useful hacks for training and optimizing deep neural networks with TensorFlow and Keras. by Bernico, Michael

    Published 2018
    Table of Contents: “…Cover; Copyright and Credits; Dedication; Packt Upsell; Foreword; Contributors; Table of Contents; Preface; Chapter 1: The Building Blocks of Deep Learning; The deep neural network architectures; Neurons; The neuron linear function; Neuron activation functions; The loss and cost functions in deep learning; The forward propagation process; The back propagation function; Stochastic and minibatch gradient descents; Optimization algorithms for deep learning; Using momentum with gradient descent; The RMSProp algorithm; The Adam optimizer; Deep learning frameworks; What is TensorFlow?…”
    Full text (MFA users only)
    Electronic eBook
  18. 438

    The New Advertising : Branding, Content, and Consumer Relationships in the Data-Driven Social Media Era. by Wang, Ming

    Published 2016
    Table of Contents: “…Unraveling User Psychology of Location Check-Ins via Mobile Devices: Motivations, Privacy Concerns, and Indirect Advertising Effects of Location-Based Information Sharing in Social Media; 7. Real-Time Marketing: The Agility to Leverage "Now"; 8. …”
    Full text (MFA users only)
    Electronic eBook
  19. 439
  20. 440

    Experimental Economics and Culture by Gunnthorsdottir, Anna

    Published 2018
    Full text (MFA users only)
    Electronic eBook