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Head Start began as part of President Lyndon B. Johnson's Great Society campaign. Its justification came from the staff of the President's Council of Economic Advisers. [7] Stan Salett, civil rights organizer, national education policy adviser, and creator of the Upward Bound Program, is also credited with initiating the Head Start program.
Step 1: Logic Model of the Problem Establish and work with a planning group; Conduct a needs assessment to create a logic model of the problem; Describe the context for the intervention including the population, setting, and community; State program goals; Step 2: Program Outcomes and Objectives – Logic Model of Change
LPA* maintains two estimates of the start distance g*(n) for each node: . g(n), the previously calculated g-value (start distance) as in A*; rhs(n), a lookahead value based on the g-values of the node's predecessors (the minimum of all g(n' ) + d(n' , n), where n' is a predecessor of n and d(x, y) is the cost of the edge connecting x and y)
Since Head Start was politically popular, a program associated with Head Start would put the OEO "back in the good graces of Congress". [3]: 5 Although Follow Through, like Head Start, was initially intended as a social action program, the decision to transform Follow Through from a social action program to a social experiment was not ...
MATLAB allows matrix manipulations, plotting of functions and data, implementation of algorithms, creation of user interfaces, and interfacing with programs written in other languages. Although MATLAB is intended primarily for numeric computing, an optional toolbox uses the MuPAD symbolic engine allowing access to symbolic computing abilities.
The MATLAB/DIDO toolbox does not require a "guess" to run the algorithm. This and other distinguishing features have made DIDO a popular tool to solve optimal control problems. [4] [7] [15] The MATLAB optimal control toolbox has been used to solve problems in aerospace, [11] robotics [1] and search theory. [2]
Further, in planning with rational or real time, the state space may be infinite, unlike in classical planning or planning with integer time. Temporal planning is closely related to scheduling problems when uncertainty is involved and can also be understood in terms of timed automata. The Simple Temporal Network with Uncertainty (STNU) is a ...
Given a transformation between input and output values, described by a mathematical function, optimization deals with generating and selecting the best solution from some set of available alternatives, by systematically choosing input values from within an allowed set, computing the output of the function and recording the best output values found during the process.