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  1. 3 dni temu · Calculation Formula. The core of the Boat Speed Calculator lies in Crouch's formula: \[ S = \sqrt{\frac{P}{D}} \times C \] where: \(S\) represents the boat's top speed in miles per hour, \(P\) is the power supplied to the boat in horsepower, \(D\) is the displacement of the boat in pounds, \(C\) is the Crouch constant, specific to the boat's type.

  2. 3 dni temu · User guide. PyMAPDL language and usage # This page gives you an overview of the PyMAPDL API for the Mapdl class. For more information, see Mapdl module. Overview # When calling MAPDL commands as functions, each command has been translated from its original MAPDL all CAPS format to a PEP8 compatible format.

  3. 5 dni temu · This useful calculator computes an estimate of boat speed for a modern planing monohull using inputs of the power at the propeller shaft, the total boat weight, and a coefficient called the hull factor.

  4. 20 godz. temu · Calculation Formula. The calculation of displacement tonnage can be approached through these formulas: For long tons (LT): \ [ \text {Displacement (LT)} = \frac {\text {Length} \times \text {Width} \times \text {Draft} \times \text {Block Coefficient}} {35 \, \text { (sea water)} \, \text {or} \, 36 \, \text { (fresh water)}} \]

  5. 4 dni temu · class DiffusionCoefficient: def __init__ (self, traj, timestep, atom_indices = None, molecule = False): """ This class calculates the Diffusion Coefficient for the given Trajectory using the Einstein Equation:..math:: \\left \\langle \\left | r(t) - r(0) \\right | ^{2} \\right \\rangle = 2nDt where r(t) is the position of atom at time t, n is ...

  6. 2 dni temu · data[i][0] = value. data[i][1] = valuetwo. currentvalueone = data[i][0] currentvaluetwo = data[i][1] #this is the ratio between the two current features it describes the realtionship between the two features: currentmultiplier = currentvalueone / currentvaluetwo. #store ratios in array.

  7. 2 dni temu · These examples demonstrate finite element method as applicable to Python and MAPDL while emphasising Python libraries such as matplotlib

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