Materias dentro de su búsqueda.
Materias dentro de su búsqueda.
- Mathematical models 36
- Python (Computer program language) 32
- Data processing 30
- History of engineering & technology 28
- Finance 23
- Technology: general issues 23
- Research & information: general 21
- Monte Carlo method 20
- Monte Carlo simulation 20
- Statistical methods 18
- machine learning 18
- Bayesian statistical decision theory 17
- Machine learning 17
- R (Computer program language) 15
- Monte Carlo 14
- Risk management 14
- Artificial intelligence 13
- Computer programs 12
- Computer simulation 11
- Novela francesa 11
- Computer graphics 10
- Reinforcement learning 10
- Óperas 10
- Mathematics 9
- Microsoft Excel (Computer file) 9
- Probabilities 9
- deep learning 9
- optimization 9
- sustainability 9
- Big data 8
-
641Publicado 2014“…This revised edition features New coverage of the rendering equation, GPU architecture considerations, and importance- sampling in physically based rendering An emphasis on modern approaches, as in a new chapter on probability theory for use in Monte-Carlo rendering Implementations of GPU shaders, software rendering, and graphics-intensive 3D interfaces 3D real-time graphics platforms–their design goals and trade-offs–including new mobile and browser platforms Programming and debugging approaches unique to graphics development The text and hundreds of figures are presented in full color throughout the book. …”
Libro electrónico -
642por Montes, Carlos
Publicado 1996Biblioteca Universidad Eclesiástica San Dámaso (Otras Fuentes: Biblioteca de la Universidad de Navarra)Libro -
643por Gentle, James E. author“…He is author of Random Number Generation and Monte Carlo Methods, Second Edition, and Elements of Computational Statistics…”
Publicado 2007
Libro electrónico -
644Publicado 2017“…Following this, you'll move on to unsupervised learning techniques such as clustering and dimension reduction, followed by probabilistic graphical models such as Naïve Bayes, hidden Markov models and Monte Carlo inference. Further, it covers the discriminative algorithms such as linear, logistic regression with regularization, kernelization, s..…”
Libro electrónico -
645Publicado 2010“…Topics covered in the Encyclopedia include the historical development of quantitative modelling in finance, including biographies of influential figures self-contained expositions of mathematical and statistical tools used in financial modelling authoritative expositions on the foundations of financial theory and mathematical finance, including arbitrage pricing, asset pricing theory, option pricing and asset allocation comprehensive reviews of various aspects of risk management: credit risk, market risk, operational risk, economic capital and Basel II with a detailed coverage of topics related to credit risk up-to-date surveys of the state of the art in computational finance: Monte Carlo simulation, partial differential equations (PDEs), Fourier transform methods, model calibration detailed entries on various types of financial derivatives and methods used for pricing and hedging them, including equity derivatives, credit derivatives, interest rate derivatives and foreign exchange derivatives pedagogical surveys of econometric methods and models used in finance, including GARCH models, GMM, realized volatility, factor models, Mixed Data Sampling and high-frequency data empirical and theoretical aspects of market microstructure and trade-level modelling timely entries on new topics such as commodity risk, electricity derivatives, algorithmic trading and multi-fractals quantitative methods in actuarial science, including insurance derivatives, catastrophe..…”
Libro electrónico -
646Publicado 2018“…For instance the integration of a suitable QM/MM technique into the highly successful Monte-Carlo and molecular dynamics simulation protocols enables the description of the chemical systems on the basis of an ensemble that is in part constructed on a quantum-mechanical basis. …”
Libro electrónico -
647por Perry, Randy C. 1956-“…During this portion of the chapter the authors discuss financial metrics such as Net Present Value; key reasons for failed commercialization programs; and the use of financial sensitivity analysis, including Monte Carlo simulation techniques. This short cut describes in detail how DFSS brings value to companies. …”
Publicado 2006
Libro electrónico -
648Publicado 2008“…Coverage includes · Real-world guidance to help practitioners raise the most important questions and determine the best resolution · Statistical techniques, including ANOVA, multi-vari charts, Monte Carlo simulations, normal probability plots, and regression analysis · Benchmarks, capability and cost/benefit analyses, Porter’s Five Forces, scorecards, stakeholder analysis, and brainstorming techniques · CPM, CTQ, FMEA, HOQ, and GOSPA · GANTT, PERT chart, and other Six Sigma project management tools · 7QC: cause and effect diagrams, checklists, control charts, fishbone diagram, flowchart, histogram, Pareto chart, process maps, run chart, scatter diagram, and the stratification tool · 7M: AND, affinity diagrams, interrelationship diagrams, matrix diagrams, prioritization matrices, PDPC, and tree diagrams · Crystal Ball, Minitab, and Quality Companion 2 software to facilitate the use of statistical and analytical tools and more to help you become a more effective Six Sigma practitioner · This book is also available in a highly-searchable eBook format at www.prenhallprofessional.com/title/0136007376 and other online booksellers,. …”
Libro electrónico -
649Publicado 2019“…What you will learn Identify the growth drivers derived from processing historical data in Excel Use discounted cash flow (DCF) for efficient investment analysis Build a financial model by projecting balance sheets and profit and loss Apply a Monte Carlo simulation to derive key assumptions for your financial model Prepare detailed asset and debt schedule models in Excel Discover the latest and advanced features of Excel 2019 Calculate profitability ratios using various profit parameters Who this book is for This book is for data professionals, analysts, traders, business owners, and students, who want to implement and develop a high in-demand skill of financial modeling in their finance, analysis, trading, and valuation work. …”
Libro electrónico -
650Publicado 2016“…The third part of the book looks at theoretical concepts that are able to describe important aspects of the simulation system; for example, under certain conditions the code becomes a Monte Carlo engine sampling from a discrete choice model. …”
Libro electrónico -
651Publicado 2004“…One-way sensitivity analyses and Monte-Carlo-simulations were undertaken to explore uncertainty. …”
Libro electrónico -
652por Vanhoucke, Mario. author“…Schedule Risk Analysis: Analyze the risk of the baseline schedule and its impact on the project’s time and budget. Use Monte Carlo simulations to assess the risk of the baseline schedule and to forecast the impact of time and budget deviations on the project objectives. …”
Publicado 2018
Libro electrónico -
653Publicado 2007“…Integrate all key technical processes so they work together in harmony Create Phase/Gate control plans for delivering products with minimal risk Establish scorecards for risk management in technical processes Use Six Sigma tools, such as Monte Carlo and FMEA, to improve project management Bring discipline to your product and technology portfolio renewal processes Systematically optimize your commercialization processes Define stripped-down “Fast Track” processes for commercializing high-risk, high-reward opportunities Provide effective operational support after you launch your product Preview the future of “lean” and Six Sigma in technical processes Use lean techniques to streamline repeatable processes such as R&D, product design, and post-launch production engineering support Learn how to manage the risk of doing a fast track commercialization project when you really must cut corners to get a product out into the market before your opportunity evaporates Foreword by John Boselli xiii Preface xv About the Author xxi Chapter 1: Introduction to Six Sigma for Technical Processes 1 Chapter 2: Scorecards for Risk Management in Technical Processes 21 Chapter 3: Project Management in Technical Processes 35 Chapter 4: Strategic Product and Technology Portfolio Renewal Process 51 Chapter 5: Strategic Research and Technology Development Process 95 Chapter 6: Tactical Product Commercialization Process 163 Chapter 7: Fast Track Commercialization 275 Chapter 8: Operational Post-Launch Engineering Support Processes 293 Chapter 9: Future Trends in Six Sigma and Technical Processes 317 Glossary 323 Index 351…”
Libro electrónico -
654Publicado 2008“…Mastering the Cell SDK, including the GCC-based buildchain, ppu-gdb/spu-gdb debuggers, IBM Full System Simulator, and Cell IDE Understanding the Cell’s central processing core, the PowerPC Processor Unit (PPU): structure, programming libraries, and AltiVec instructions Programming the Synergistic Processor Unit (SPU): vector processing, communication, caching, assembler coding, and more Leveraging SDK vector and matrix libraries, including the Large Matrix Library, BLAS Library, FFT libraries, Multiprecision Library, and Monte Carlo API Coding basic 2D graphics using the Linux frame buffer Building 3D graphics with the new Gallium OpenGL library Constructing 3D games with Ogre3D and packaging them using Collada digital content interchange Optimizing the performance of your Cell applications Developing on standard PCs and transferring code to Cell systems such as the PlayStation 3 Foreword xv Preface xvii Chapter 1: Introducing the Cell Processor 1 Part I: The Software Development..…”
Libro electrónico -
655
-
656