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Lec04c-Synchronization 4
Lec04c-Synchronization 4

educative commentary on jee 2007 mathematics papers (pdf file)
educative commentary on jee 2007 mathematics papers (pdf file)

Developing the Fraction Concept
Developing the Fraction Concept

Quadratic optimization over a second-order cone with linear equality
Quadratic optimization over a second-order cone with linear equality

Problem Solving and Computers in a Learning Environment
Problem Solving and Computers in a Learning Environment

... Modelling thinking, in the technical use of the term, refers to the translation of objects or phenomena from the real world into mathematical equations (mathematical models) or computer relations (simulation models). It is choosing an appropriate representation or modelling the relevant aspects of a ...
Document
Document

... Thus, to solve for the first time step, we substitute the initial conditions for the right-hand side and solve the 22 system of equations. The best way to do this is with LU decomposition since we will have to solve the system repeatedly. For the present case, because it’s easier to display, we wil ...
nature of metacognition in a dynamic geometry
nature of metacognition in a dynamic geometry

... Lester (1985), I developed a model capturing together student’s cognitive and metacognitive behaviors when problem solving in DGS (Kuzle, 2011) and their complex interplay. On the contrary to Schoenfeld (1981, 1985) the planning/implementation episodes were separated into two episodes, as they do no ...
Course Notes - Mathematics for Computer Graphics トップページ
Course Notes - Mathematics for Computer Graphics トップページ

Part 3: DIFFERENTIAL EQUATIONS
Part 3: DIFFERENTIAL EQUATIONS

Chapter 2: Equations, Inequalities and Problem Solving
Chapter 2: Equations, Inequalities and Problem Solving

Chapter 2: Equations, Inequalities and Problem Solving
Chapter 2: Equations, Inequalities and Problem Solving

... A car rental agency advertised renting a Buick Century for $24.95 per day and $0.29 per mile. If you rent this car for 2 days, how many whole miles can you drive on a $100 budget? 1.) Understand Read and reread the problem. Let’s propose that we drive a total of 100 miles over the 2 days. Then we ne ...
Locality Preserving Hashing Kang Zhao, Hongtao Lu and Jincheng Mei
Locality Preserving Hashing Kang Zhao, Hongtao Lu and Jincheng Mei

... be given by 12 (1 + yik ). Broadly, hashing methods can be roughly divided into two main categories (Gong and Lazebnik 2011; Liu et al. 2011): data-independent methods and data-dependent methods. Locality Sensitive Hashing (LSH) (Gionis et al. 1999) and its variants (Datar et al. 2004; Kulis, Jain, ...
Dynamic Programming
Dynamic Programming

rheological interpretation of rayleigh damping
rheological interpretation of rayleigh damping

Data Abstraction and Problem Solving with JAVA
Data Abstraction and Problem Solving with JAVA

Clustering of Concept Drift Categorical Data Using Our
Clustering of Concept Drift Categorical Data Using Our

Free surface ow under gravity and surface tension due to an Applied
Free surface ow under gravity and surface tension due to an Applied

... Free surface flow due to an applied pressure distribution in the presence of a uniform stream has been a much-studied problem for more than a century, with applications to the forcing of water waves by atmospheric disturbances, or due to moving obstacles such as ships. For the two-dimensional flow o ...
An Active Approach to Characterizing Dynamic Dependencies
An Active Approach to Characterizing Dynamic Dependencies

... – compare to 140 potential dependencies (!) – one false negative most likely due to insufficient data – caveat: some glitches due to unmodeled interactions » manifested as small negative dependency strengths » solution: improve model or simply discard negative strengths ...
M.Sc. (Previous) Mathematics Paper –V Differential Equations
M.Sc. (Previous) Mathematics Paper –V Differential Equations

p - INFONET
p - INFONET

Semi-markov decision problems and performance sensitivity analysis
Semi-markov decision problems and performance sensitivity analysis

21-762
21-762

Compactness of approximate solutions (for some evolution PDEs
Compactness of approximate solutions (for some evolution PDEs

Basis for the calculations of travel time curves in a 1D model
Basis for the calculations of travel time curves in a 1D model

... the first arrival times, hence we are interested in the first point plotted at each of the receivers. The next step is to identify straight lines in our plot, or in other words, slopes and intercepts. By calculating the equation of the lines we are now able to find the slopes (hence the velocities) ...
Slides
Slides

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Inverse problem

An inverse problem in science is the process of calculating from a set of observations the causal factors that produced them: for example, calculating an image in computer tomography, source reconstructing in acoustics, or calculating the density of the Earth from measurements of its gravity field.It is called an inverse problem because it starts with the results and then calculates the causes. This is the inverse of a forward problem, which starts with the causes and then calculates the results.Inverse problems are some of the most important mathematical problems in science and mathematics because they tell us about parameters that we cannot directly observe. They have wide application in optics, radar, acoustics, communication theory, signal processing, medical imaging, computer vision, geophysics, oceanography, astronomy, remote sensing, natural language processing, machine learning, nondestructive testing, and many other fields.
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