An Investigation of Droplets and Films Falling Over Horizontal Tubes
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Object Oriented Programming
No. 52 March-A pril'1990 $3.95 T H E M TEe H CAL J 0 URN A L COPIA Object Oriented Programming First it was BASIC, then it was structures, now it's objects. C++ afi<;ionados feel, of course, that objects are so powerful, so encompassing that anything could be so defined. I hope they're not placing bets, because if they are, money's no object. C++ 2.0 page 8 An objective view of the newest C++. Training A Neural Network Now that you have a neural network what do you do with it? Part two of a fascinating series. Debugging C page 21 Pointers Using MEM Keep C fro111 (C)rashing your system. An AT Keyboard Interface Use an AT keyboard with your latest project. And More ... Understanding Logic Families EPROM Programming Speeding Up Your AT Keyboard ((CHAOS MADE TO ORDER~ Explore the Magnificent and Infinite World of Fractals with FRAC LS™ AN ELECTRONIC KALEIDOSCOPE OF NATURES GEOMETRYTM With FracTools, you can modify and play with any of the included images, or easily create new ones by marking a region in an existing image or entering the coordinates directly. Filter out areas of the display, change colors in any area, and animate the fractal to create gorgeous and mesmerizing images. Special effects include Strobe, Kaleidoscope, Stained Glass, Horizontal, Vertical and Diagonal Panning, and Mouse Movies. The most spectacular application is the creation of self-running Slide Shows. Include any PCX file from any of the popular "paint" programs. FracTools also includes a Slide Show Programming Language, to bring a higher degree of control to your shows. -
A Computational Basis for Conic Arcs and Boolean Operations on Conic Polygons
A Computational Basis for Conic Arcs and Boolean Operations on Conic Polygons Eric Berberich, Arno Eigenwillig, Michael Hemmer Susan Hert, Kurt Mehlhorn, and Elmar Schomer¨ [eric|arno|hemmer|hert|mehlhorn|schoemer]@mpi-sb.mpg.de Max-Planck-Institut fur¨ Informatik, Stuhlsatzenhausweg 85 66123 Saarbruck¨ en, Germany Abstract. We give an exact geometry kernel for conic arcs, algorithms for ex- act computation with low-degree algebraic numbers, and an algorithm for com- puting the arrangement of conic arcs that immediately leads to a realization of regularized boolean operations on conic polygons. A conic polygon, or polygon for short, is anything that can be obtained from linear or conic halfspaces (= the set of points where a linear or quadratic function is non-negative) by regularized boolean operations. The algorithm and its implementation are complete (they can handle all cases), exact (they give the mathematically correct result), and efficient (they can handle inputs with several hundred primitives). 1 Introduction We give an exact geometry kernel for conic arcs, algorithms for exact computation with low-degree algebraic numbers, and a sweep-line algorithm for computing arrangements of curved arcs that immediately leads to a realization of regularized boolean operations on conic polygons. A conic polygon, or polygon for short, is anything that can be ob- tained from linear or conic halfspaces (= the set of points where a linear or quadratic function is non-negative) by regularized boolean operations (Figure 1). A regularized boolean operation is a standard boolean operation (union, intersection, complement) followed by regularization. Regularization replaces a set by the closure of its interior and eliminates dangling low-dimensional features. -
A Simultaneous Planar Laser-Induced Fluorescence, Particle Image Velocimetry and Particle Tracking Velocimetry Technique For
Experimental Thermal and Fluid Science 68 (2015) 516–536 Contents lists available at ScienceDirect Experimental Thermal and Fluid Science journal homepage: www.elsevier.com/locate/etfs A simultaneous planar laser-induced fluorescence, particle image velocimetry and particle tracking velocimetry technique for the investigation of thin liquid-film flows ⇑ Alexandros Charogiannis, Jae Sik An, Christos N. Markides Clean Energy Processes (CEP) Laboratory, Department of Chemical Engineering, Imperial College London, London SW7 2AZ, United Kingdom article info abstract Article history: A simultaneous measurement technique based on planar laser-induced fluorescence imaging (PLIF) and Received 26 March 2015 particle image/tracking velocimetry (PIV/PTV) is described for the investigation of the hydrodynamic Received in revised form 22 May 2015 characteristics of harmonically excited liquid thin-film flows. The technique is applied as part of an Accepted 8 June 2015 extensive experimental campaign that covers four different Kapitza (Ka) number liquids, Reynolds (Re) Available online 14 June 2015 numbers spanning the range 2.3–320, and inlet-forced/wave frequencies in the range 1–10 Hz. Film thicknesses (from PLIF) for flat (viscous and unforced) films are compared to micrometer stage measure- Keywords: ments and analytical predictions (Nusselt solution), with a resulting mean deviation being lower than the Planar laser-induced fluorescence nominal resolution of the imaging setup (around 20 m). Relative deviations are calculated between Particle image velocimetry l Particle tracking velocimetry PTV-derived interfacial and bulk velocities and analytical results, with mean values amounting to no Harmonically excited films more than 3.2% for both test cases. In addition, flow rates recovered using LIF/PTV (film thickness and Film thickness velocity profile) data are compared to direct flowmeter readings. -
Heat Transfer for Falling Film Evaporation of Black Liquor up To
International Journal of Heat and Mass Transfer 65 (2013) 907–918 Contents lists available at SciVerse ScienceDirect International Journal of Heat and Mass Transfer journal homepage: www.elsevier.com/locate/ijhmt Heat transfer for falling film evaporation of black liquor up to very high Prandtl numbers q ⇑ Erik Karlsson a, , Mathias Gourdon a, Lars Olausson b, Lennart Vamling a a Energy and Environment, Chalmers University of Technology, Gothenburg, Sweden b Metso Power AB, Gothenburg, Sweden article info abstract Article history: In this study, heat transfer measurements for falling film evaporation were performed up to very high Received 21 January 2013 Prandtl numbers, from 10 to 2800. Black liquor, a residual stream from the pulping process, was used Received in revised form 2 July 2013 as an example of a fluid that can have very high Prandtl numbers. To overcome the problem with fouling, Accepted 3 July 2013 which can be severe for black liquor due to crystal formation at higher concentrations, a new measure- Available online 30 July 2013 ment method has been successfully developed which enables reliable measurements. Viscosity was clearly the most important parameter for the heat transfer coefficient, while the specific mass flow rate Keywords: had a weak and positive dependence. The results were compared with existing heat transfer correlations, Heat transfer but none of them were able to capture the heat transfer behavior of black liquor throughout the whole Falling film Evaporation range of Prandtl numbers. High Prandtl numbers Ó 2013 The Authors. Published by Elsevier Ltd. All rights reserved. High viscosity Black liquor 1. Introduction for having high viscosity and to cause significant problems with fouling. -
RESOURCES in NUMERICAL ANALYSIS Kendall E
RESOURCES IN NUMERICAL ANALYSIS Kendall E. Atkinson University of Iowa Introduction I. General Numerical Analysis A. Introductory Sources B. Advanced Introductory Texts with Broad Coverage C. Books With a Sampling of Introductory Topics D. Major Journals and Serial Publications 1. General Surveys 2. Leading journals with a general coverage in numerical analysis. 3. Other journals with a general coverage in numerical analysis. E. Other Printed Resources F. Online Resources II. Numerical Linear Algebra, Nonlinear Algebra, and Optimization A. Numerical Linear Algebra 1. General references 2. Eigenvalue problems 3. Iterative methods 4. Applications on parallel and vector computers 5. Over-determined linear systems. B. Numerical Solution of Nonlinear Systems 1. Single equations 2. Multivariate problems C. Optimization III. Approximation Theory A. Approximation of Functions 1. General references 2. Algorithms and software 3. Special topics 4. Multivariate approximation theory 5. Wavelets B. Interpolation Theory 1. Multivariable interpolation 2. Spline functions C. Numerical Integration and Differentiation 1. General references 2. Multivariate numerical integration IV. Solving Differential and Integral Equations A. Ordinary Differential Equations B. Partial Differential Equations C. Integral Equations V. Miscellaneous Important References VI. History of Numerical Analysis INTRODUCTION Numerical analysis is the area of mathematics and computer science that creates, analyzes, and implements algorithms for solving numerically the problems of continuous mathematics. Such problems originate generally from real-world applications of algebra, geometry, and calculus, and they involve variables that vary continuously; these problems occur throughout the natural sciences, social sciences, engineering, medicine, and business. During the second half of the twentieth century and continuing up to the present day, digital computers have grown in power and availability. -
On Combinatorial Approximation Algorithms in Geometry Bruno Jartoux
On combinatorial approximation algorithms in geometry Bruno Jartoux To cite this version: Bruno Jartoux. On combinatorial approximation algorithms in geometry. Distributed, Parallel, and Cluster Computing [cs.DC]. Université Paris-Est, 2018. English. NNT : 2018PESC1078. tel- 02066140 HAL Id: tel-02066140 https://pastel.archives-ouvertes.fr/tel-02066140 Submitted on 13 Mar 2019 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. Université Paris-Est École doctorale MSTIC On Combinatorial Sur les algorithmes d’approximation Approximation combinatoires Algorithms en géométrie in Geometry Bruno Jartoux Thèse de doctorat en informatique soutenue le 12 septembre 2018. Composition du jury : Lilian Buzer ESIEE Paris Jean Cardinal Université libre de Bruxelles président du jury Guilherme Dias da Fonseca Université Clermont Auvergne rapporteur Jesús A. de Loera University of California, Davis rapporteur Frédéric Meunier École nationale des ponts et chaussées Nabil H. Mustafa ESIEE Paris directeur Vera Sacristán Universitat Politècnica de Catalunya Kasturi R. Varadarajan The University of Iowa rapporteur Last revised 16th December 2018. Thèse préparée au laboratoire d’informatique Gaspard-Monge (LIGM), équipe A3SI, dans les locaux d’ESIEE Paris. LIGM UMR 8049 ESIEE Paris Cité Descartes, bâtiment Copernic Département IT 5, boulevard Descartes Cité Descartes Champs-sur-Marne 2, boulevard Blaise-Pascal 77454 Marne-la-Vallée Cedex 2 93162 Noisy-le-Grand Cedex Bruno Jartoux 2018. -
2020 SIGACT REPORT SIGACT EC – Eric Allender, Shuchi Chawla, Nicole Immorlica, Samir Khuller (Chair), Bobby Kleinberg September 14Th, 2020
2020 SIGACT REPORT SIGACT EC – Eric Allender, Shuchi Chawla, Nicole Immorlica, Samir Khuller (chair), Bobby Kleinberg September 14th, 2020 SIGACT Mission Statement: The primary mission of ACM SIGACT (Association for Computing Machinery Special Interest Group on Algorithms and Computation Theory) is to foster and promote the discovery and dissemination of high quality research in the domain of theoretical computer science. The field of theoretical computer science is the rigorous study of all computational phenomena - natural, artificial or man-made. This includes the diverse areas of algorithms, data structures, complexity theory, distributed computation, parallel computation, VLSI, machine learning, computational biology, computational geometry, information theory, cryptography, quantum computation, computational number theory and algebra, program semantics and verification, automata theory, and the study of randomness. Work in this field is often distinguished by its emphasis on mathematical technique and rigor. 1. Awards ▪ 2020 Gödel Prize: This was awarded to Robin A. Moser and Gábor Tardos for their paper “A constructive proof of the general Lovász Local Lemma”, Journal of the ACM, Vol 57 (2), 2010. The Lovász Local Lemma (LLL) is a fundamental tool of the probabilistic method. It enables one to show the existence of certain objects even though they occur with exponentially small probability. The original proof was not algorithmic, and subsequent algorithmic versions had significant losses in parameters. This paper provides a simple, powerful algorithmic paradigm that converts almost all known applications of the LLL into randomized algorithms matching the bounds of the existence proof. The paper further gives a derandomized algorithm, a parallel algorithm, and an extension to the “lopsided” LLL. -
Mathematics of Bioinformatics ---Theory, Practice, and Applications (Part I)
Mathematics of Bioinformatics ---Theory, Practice, and Applications (Part I) Matthew He, Ph.D. Professor/Director Division of Math, Science, and Technology Nova Southeastern University, Florida, USA December 18-21, 2010, Hong Kong, China BIBM 2010 OUTLINE INTRODUCTION: FUNDAMENTAL QUESTIONS PART I : GENETIC CODES , BIOLOGICAL SEQUENCES , DNA AND PROTEIN STRUCTURES PART II: BIOLOGICAL FUNCTIONS, NETWORKS, SYSTEMS BIOLOGY AND COGNITIVE INFORMATICS TABLE OF TOPICS: PART I I. Bioinformatics and Mathematics 1.1 Introduction 12G1.2 Genet ic Co de an dMd Mat hemat ics 1.3 Mathematical Background 1.4 Converting Data to Knowledge 1.5 Big Picture: Informatics 16Chll1.6 Challenges and dP Perspect ives II. Genetic Codes, Matrices, and Symmetrical Techniques 2.1 Introduction 2.2 Matrix Theory and Symmetry Preliminaries 2.3 Genetic Codes and Matrices 2.4 Challenges and Perspectives III. Biological Sequences, Sequence Alignment, and Statistics 3.1 Introduction 3.2 Mathematical Sequences 3.3 Sequence Alignment 3.4 Sequence Analysis/Further Discussions 3.5 Challenges and Perspectives TABLE OF TOPICS: PART I IV. Structures of DNA and Knot Theory 4.1 Introduction 4.2 Knot Theory Preliminaries 4.3 DNA Knots and Links 4.4 Challenggpes and Perspectives V. Protein Structures, Geometry, and Topology 51I5.1 In tro duc tion 5.2 Computational Geometry and Topology 5.3 Protein Structures and Prediction 5.4 Statistical Approach and Discussions 5. 5 Cha llenges an d Perspec tives TABLE OF TOPICS: PART II VI. Biological Networks and Graph Theory 6. 1 Introduction 6.2 Graph Theory and Network Topology 6.3 Models of Biological Networks 6.4 Challenges and Perspectives VII. -
A Simultaneous Planar Laser-Induced Fluorescence, Particle Image Velocimetry and Particle Tracking Velocimetry Technique For
Accepted Manuscript A Simultaneous Planar Laser-Induced Fluorescence, Particle Image Velocime- try and Particle Tracking Velocimetry Technique for the Investigation of Thin Liquid-Film Flows Alexandros Charogiannis, Jae Sik An, Christos N. Markides PII: S0894-1777(15)00164-8 DOI: http://dx.doi.org/10.1016/j.expthermflusci.2015.06.008 Reference: ETF 8497 To appear in: Experimental Thermal and Fluid Science Received Date: 26 March 2015 Revised Date: 22 May 2015 Accepted Date: 8 June 2015 Please cite this article as: A. Charogiannis, J.S. An, C.N. Markides, A Simultaneous Planar Laser-Induced Fluorescence, Particle Image Velocimetry and Particle Tracking Velocimetry Technique for the Investigation of Thin Liquid-Film Flows, Experimental Thermal and Fluid Science (2015), doi: http://dx.doi.org/10.1016/ j.expthermflusci.2015.06.008 This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain. A Simultaneous Planar Laser-Induced Fluorescence, Particle Image Velocimetry and Particle Tracking Velocimetry Technique for the Investigation of Thin Liquid-Film Flows Alexandros Charogiannis, Jae Sik An and Christos N. Markides* Clean Energy Processes (CEP) Laboratory, Department of Chemical Engineering, Imperial College London, London SW7 2AZ, United Kingdom * Correspondent author: [email protected] Abstract A simultaneous measurement technique based on planar laser-induced fluorescence imaging (PLIF) and particle image/tracking velocimetry (PIV/PTV) is described for the investigation of the hydrodynamic characteristics of harmonically excited liquid thin-film flows. -
Augmented Skew-Symetric System for Shallow-Water System With
Augmented Skew-Symetric System for Shallow-Water System with Surface Tension Allowing Large Gradient of Density Didier Bresch, Nicolas Cellier, Frédéric Couderc, Marguerite Gisclon, Pascal Noble, Gaël Loïc Richard, Christian Ruyer-Quil, Jean-Paul Vila To cite this version: Didier Bresch, Nicolas Cellier, Frédéric Couderc, Marguerite Gisclon, Pascal Noble, et al.. Augmented Skew-Symetric System for Shallow-Water System with Surface Tension Allowing Large Gradient of Density. 2020. hal-02382372v2 HAL Id: hal-02382372 https://hal.archives-ouvertes.fr/hal-02382372v2 Preprint submitted on 9 Jun 2020 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. Augmented Skew-Symetric System for Shallow-Water System with Surface Tension Allowing Large Gradient of Density D. Bresch, N. Cellier, F. Couderc, M. Gisclon, P. Noble, G.–L. Richard, C. Ruyer-Quil, J.–P. Vila June 9, 2020 Abstract In this paper, we introduce a new extended version of the shallow-water equations with surface tension which may be decomposed into a hyperbolic part and a second order derivative part which is skew- symmetric with respect to the L2 scalar product. This reformulation allows for large gradients of fluid height simulations using a splitting method. -
Efficient Space-Time Sampling with Pixel-Wise Coded Exposure For
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE 1 Efficient Space-Time Sampling with Pixel-wise Coded Exposure for High Speed Imaging Dengyu Liu, Jinwei Gu, Yasunobu Hitomi, Mohit Gupta, Tomoo Mitsunaga, Shree K. Nayar Abstract—Cameras face a fundamental tradeoff between spatial and temporal resolution. Digital still cameras can capture images with high spatial resolution, but most high-speed video cameras have relatively low spatial resolution. It is hard to overcome this tradeoff without incurring a significant increase in hardware costs. In this paper, we propose techniques for sampling, representing and reconstructing the space-time volume in order to overcome this tradeoff. Our approach has two important distinctions compared to previous works: (1) we achieve sparse representation of videos by learning an over-complete dictionary on video patches, and (2) we adhere to practical hardware constraints on sampling schemes imposed by architectures of current image sensors, which means that our sampling function can be implemented on CMOS image sensors with modified control units in the future. We evaluate components of our approach - sampling function and sparse representation by comparing them to several existing approaches. We also implement a prototype imaging system with pixel-wise coded exposure control using a Liquid Crystal on Silicon (LCoS) device. System characteristics such as field of view, Modulation Transfer Function (MTF) are evaluated for our imaging system. Both simulations and experiments on a wide range of -
Applied Analysis & Scientific Computing Discrete Mathematics
CENTER FOR NONLINEAR ANALYSIS The CNA provides an environment to enhance and coordinate research and training in applied analysis, including partial differential equations, calculus of Applied Analysis & variations, numerical analysis and scientific computation. It advances research and educational opportunities at the broad interface between mathematics and Scientific Computing physical sciences and engineering. The CNA fosters networks and collaborations within CMU and with US and international institutions. Discrete Mathematics & Operations Research RANKINGS DOCTOR OF PHILOSOPHY IN ALGORITHMS, COMBINATORICS, U.S. News & World Report AND OPTIMIZATION #16 | Applied Mathematics Carnegie Mellon University offers an interdisciplinary Ph.D program in Algorithms, Combinatorics, and #7 | Discrete Mathematics and Combinatorics Optimization. This program is the first of its kind in the United States. It is administered jointly #6 | Best Graduate Schools for Logic by the Tepper School of Business (Operations Research group), the Computer Science Department (Algorithms and Complexity group), and the Quantnet Department of Mathematical Sciences (Discrete Mathematics group). #4 | Best Financial Engineering Programs Carnegie Mellon University does not CONTACT discriminate in admission, employment, or Logic administration of its programs or activities on Department of Mathematical Sciences the basis of race, color, national origin, sex, handicap or disability, age, sexual orientation, 5000 Forbes Avenue gender identity, religion, creed, ancestry,