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Published by: Massachusetts Institute of Technology | Language: English
Published by: Massachusetts Institute of Technology | Language: English
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This course studies basic optimization and the principles of optimal control. It considers deterministic and stochastic problems for both discrete and continuous systems. The course covers solution methods including numerical search algorithms, model predictive control, dynamic programming, variational calculus, and approaches based on Pont
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- aeronautics and astronautics
- nonlinear optimization
- dynamic programming
- hjb equation
- calculus of variations
- constrained optimal control
- singular arcs
- stochastic optimal control
- lqg robustness
- feedback control systems
- model predictive control
- line search methods
- lagrange multipliers
- discrete lqr
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Published by: Massachusetts Institute of Technology | Language: English
Published by: Massachusetts Institute of Technology | Language: English
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This course surveys a variety of reasoning, optimization and decision making methodologies for creating highly autonomous systems and decision support aids. The focus is on principles, algorithms, and their application, taken from the disciplines of artificial intelligence and operations research. Reasoning paradigms include logic and deduc
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- aeronautics and astronautics
- state space search
- constraints
- planning
- model based reasoning
- global path planning
- mathematical programming
- hidden markov models
- dynamic programming
- machine learning
- game theory
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Published by: Massachusetts Institute of Technology | Language: English
Published by: Massachusetts Institute of Technology | Language: English
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Serving as an introduction to computational biology, this course emphasizes the fundamentals of nucleic acid and protein sequence analysis, structural analysis, and the analysis of complex biological systems. The principles and methods used for sequence alignment, motif finding, structural modeling, structure prediction, and network modelin
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- biology
- computational biology
- systems biology
- bioinformatics
- sequence analysis
- proteomics
- sequence alignment
- protein folding
- structure prediction
- network modeling
- phylogenetics
- pairwise sequence comparisons
- ncbi
- blast
- protein structure
- dynamic programming
- genome sequencing
- dna
- rna
- x-ray crystallography
- nmr
- homologs
- ab initio st
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Published by: Massachusetts Institute of Technology | Language: English
Published by: Massachusetts Institute of Technology | Language: English
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This course covers concepts of computation used in analysis of engineering systems. It includes the following topics: data structures, relational database representations of engineering data, algorithms for the solution and optimization of engineering system designs (greedy, dynamic programming, branch and bound, graph algorithms, nonlinear
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Tag(s):
- civil and environmental engineering
- databases
- data structures
- divide and conquer algorithm
- greedy algorithm
- dynamic programming
- branch and bound
- linear optimization
- nonlinear optimization
- approximate queues
- network designs
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Published by: Massachusetts Institute of Technology | Language: English
Published by: Massachusetts Institute of Technology | Language: English
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This course is a survey of modern macroeconomics at a fairly advanced level. Topics include neoclassical and new& growth theory, consumption and saving behavior, investment, and unemployment. It also includes use of the dynamic programming techniques. Assignments include problem sets and written discussions of macroeconomic events. This cou
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- economics
- advanced macroeconomics
- dynamic programming
- neoclassical and new growth theory
- consumption and saving behavior
- investment
- unemployment
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Published by: Massachusetts Institute of Technology | Language: English
Published by: Massachusetts Institute of Technology | Language: English
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This course is a survey of modern macroeconomics at a quite advanced level. Topics include the neoclassical growth model, overlapping generations, endogenous growth models, business cycles, incomplete nominal adjustment, incomplete financial markets, fiscal and monetary policy, consumption and savings, and unemployment. The course is also a
Author(s):
Tag(s):
- economics
- advanced macroeconomics
- dynamic programming
- neoclassical theory
- new growth theory
- consumption
- saving behavior
- investment
- unemployment
- financial markets
- asset pricing
- public finance
- externalities
- research and development
- innovation
- business cycles
- nominal adjustment
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Published by: Massachusetts Institute of Technology | Language: English
Published by: Massachusetts Institute of Technology | Language: English
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Introduction to the theories of economic growth. Topics will include basic facts of economic growth and long-run economic development; brief overview of optimal control theory and dynamic programming; basic neoclassical growth model under a variety of market structures; human capital and economic growth; endogenous growth models; models wit
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Tag(s):
- economics
- macroeconomic theory
- macroeconomics
- solow growth model
- neoclassical growth model
- endogenous growth
- human capital
- bellman equation
- theory of optimal control
- dynamic programming
- gdp
- per capita income
- asset pricing
- public finance
- overlappiing generations
- ak
- spillovers
- expanding variety models
- sala-i-martin
- daron acemoglu
- bar
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Published by: Massachusetts Institute of Technology | Language: English
Published by: Massachusetts Institute of Technology | Language: English
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This course provides an introduction to mathematical modeling of computational problems. It covers the common algorithms, algorithmic paradigms, and data structures used to solve these problems. The course emphasizes the relationship between algorithms and programming, and introduces basic performance measures and analysis techniques for th
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Tag(s):
- electrical engineering and computer science
- algorithms
- python
- python cost model
- binary search trees
- hashing
- sorting
- searching
- shortest paths
- dynamic programming
- numerics
- document distance
- longest common substring
- dijkstra
- fibonacci
- image resizing
- chaining
- hash functions
- priority queues
- breadth first search
- depth first search
- memoization
- divide and conquer
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Published by: Massachusetts Institute of Technology | Language: English
Published by: Massachusetts Institute of Technology | Language: English
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This course teaches techniques for the design and analysis of efficient algorithms, emphasizing methods useful in practice. Topics covered include: sorting; search trees, heaps, and hashing; divide-and-conquer; dynamic programming; amortized analysis; graph algorithms; shortest paths; network flow; computational geometry; number-theoretic a
Author(s):
Tag(s):
- electrical engineering and computer science
- algorithms
- efficient algorithms
- sorting
- search trees
- heaps
- hashing
- divide-and-conquer
- dynamic programming
- amortized analysis
- graph algorithms
- shortest paths
- network flow
- computational geometry
- number-theoretic algorithms
- polynomial and matrix calculations
- caching
- parallel computing
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Published by: Massachusetts Institute of Technology | Language: English
Published by: Massachusetts Institute of Technology | Language: English
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This course is a first-year graduate course in algorithms. Emphasis is placed on fundamental algorithms and advanced methods of algorithmic design, analysis, and implementation. Techniques to be covered include amortization, randomization, fingerprinting, word-level parallelism, bit scaling, dynamic programming, network flow, linear program
Author(s):
Tag(s):
- electrical engineering and computer science
- amortization
- randomization
- fingerprinting
- word-level parallelism
- bit scaling
- dynamic programming
- network flow
- linear programming
- fixed-parameter algorithms
- approximation algorithms
- string algorithms
- network optimization
- parallel algorithms
- computational geometry
- online algorithms
- external memory
- external cache
- external stre
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Published by: Massachusetts Institute of Technology | Language: English
Published by: Massachusetts Institute of Technology | Language: English
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This course introduces the basic computational methods used to understand the cell on a molecular level. It covers subjects such as the sequence alignment algorithms: dynamic programming, hashing, suffix trees, and Gibbs sampling. Furthermore, it focuses on computational approaches to: genetic and physical mapping; genome sequencing, assemb
Author(s):
Tag(s):
- mathematics
- basic computational methods cell on a molecular level
- sequence alignment algorithms
- dynamic programming
- hashing
- suffix trees
- gibbs sampling
- genetic and physical mapping
- genome sequencing
- assembly
- and annotation
- rna expression and secondary structure
- protein structure and folding
- and molecular interactions and dynamics
- annotatio
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Published by: Massachusetts Institute of Technology | Language: English
Published by: Massachusetts Institute of Technology | Language: English
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This course is an introduction to the theory and application of large-scale dynamic programming. Topics include Markov decision processes, dynamic programming algorithms, simulation-based algorithms, theory and algorithms for value function approximation, and policy search methods. The course examines games and applications in areas such as
Author(s):
Tag(s):
- mechanical engineering
- algorithm
- markov decision process
- dynamic programming
- stochastic models
- policy iteration
- q-learning
- reinforcement learning
- lyapunov function
- ode
- td-learning
- value function approximation
- linear programming
- policy search
- policy gradient
- actor-critic
- experts algorithm
- regret minimization and calibration
- games.
12 results found.
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