Depth Sample Clauses

Depth. Subject to the right of the Partnership to direct the stoppage of work at any time (as provided in paragraph 7), the Partnership Wells shall be drilled to the depth as specified in Exhibit "1" or to the depth at which the production casing (oil string) is set, whichever depth is first reached, which depth is hereinafter referred to as the "Contract Depth."
Depth. All of the wells to be drilled under this Agreement shall be:
Depth. Contractor confirms that the Drilling Unit shall be capable of drilling wells upto a maximum depth of Meters.
Depth. Spacer lengths under hydrant body shall be fitted to permit top of false- spindle being 75 mm minimum to 225mm maximum below finished surface of footpath.
Depth. Subject to provisions hereof, the wells shall be drilled to the depth specified below: Turnkey Depth: The well shall be drilled up to 2000 feet or ____________ of the _________________ formation, or the depth at which the _____________ inch casing or liner set, whichever is the lesser depth, which will herein be referred to as the Turnkey Depth.
Depth. 7/8 inch(22.2 mm).
Depth. 7/8 inch (22.2 mm).
Depth. Below-grade utilities must be installed/constructed at the minimum depth. The minimum cover over any pipe or conduit installed under any right -of-way must comply with CRS Plate E-11. Lesser cover in parkways or sidewalk areas must be reviewed and approved by the County.
Depth. As listed on perc slip. If suitable material is not encountered at specified depth, stop work and contact Environmental Health. However, keep in mind that not all septic systems are installed in what appear to be the most sandy soils. Do not dig deeper than the specified install depth to get into better material as that may bring the trench bottom too close to the ground water table.
Depth the number of steps along the path from the initial state.The difference between nodes and states, a node is bookkeeping data structure used to represent the search tree. A state corresponds to a configuration of the world.To represent the collection of nodes that have been generated but not yet expanded – this collection is called fringe. Each element of the fringe is a leaf node, that is, a node with no successors in the tree. The representation of the fringe would be a set of nodes. The search strategy then would be a function that selects the next node to be expanded from this set. It could be computationally expensive, because the strategy function might have to look at every element of the set to choose the best one. Alternatively, the collection of nodes is implemented as a queue representation. The queue operations as follows:✓ MAKE-QUEUE (element…) – creates a queue with the given elements.✓ EMPTY? (queue) – returns true only if there are no more elements in the queue.✓ FIRST (queue) – returns the first element of the queue.✓ REMOVE-FIRST (queue) returns FIRST (queue) and removes it from the queue.✓ INSERT (element, queue) – inserts an element into the queue and the resulting queue.✓ INSERT-ALL (elements, queue) – inserts a set of elements into the queue and returns the resulting queue.The formal version of the general tree-search algorithm shown in figure. function TREE-SEARCH(problem, fringe) returns a solution, or failure fringe ← INSERT(MAKE-NODE(INITIAL-STATE[problem]),fringe) loop doif EMPTY?(fringe) then return failurenode ← REMOVE-FIRST(fringe)if GOAL-TEST[problem] applied to STATE[node] succeedsthen return SOLUTION(node)fringe ← INSERT-ALL(EXPAND(node, problem),fringe) function EXPAND(node, problem) returns a set of nodessuccessors ← the empty setfor each <action, result> in SUCCESSOR-FN[problem](STATE[node]) dos ← a new NODE STATE[s] ← result PARENT-NODE[s] ← node ACTION[s] ← actionPATH-COST[s] ← PATH-COST [node] + STEP-COST (node, action, s)DEPTH[s] ← DEPTH [node] + 1add s to successorsreturn successors Figure: The General Tree-Search AlgorithmMeasuring problem-solving performance The output of a problem-solving is either failure or a solution. We will evaluate an algorithm‘s performance in four ways:✓ Completeness: The strategy guaranteed to find a solution when there is one.✓ Optimality: If more than one way exists to derive the solution then the best one is selected.✓ Time complexity: Time taken to run a solution.✓ Space complexity: ...