plots.matlab_figs

plots.matlab_figs.optimplotx_custom(x, optimValues, state, b)

Function optimplotx_custom()

Parameters:

  • x – Design variable vector

  • optimValues – optimValues

  • state – state

  • b – Design variable bounds struct

Returns:

stop

optimplotfvalconstr Plot value of the objective function vs iteration. Infeasible points are marked red. If no fval is available, this function will plot constraint violation (infeasibility).

plots.matlab_figs.plot_drag_convergence(X_f_guesses, X_s_guesses, phase_X_f_guesses, phase_X_s_guesses, iters, multibody, X_tol, phase_X_tol)

Function plot_drag_convergence()

Parameters:

  • X_f_guesses – X_f_guesses

  • X_s_guesses – X_s_guesses

  • phase_X_f_guesses – phase_X_f_guesses

  • phase_X_s_guesses – phase_X_s_guesses

  • iters – iters

  • multibody – multibody

  • X_tol – max allowable iteration error on magnitude of amplitude (m)

  • phase_X_tol – max allowable iteration error on phase angle of amplitude (rad)

Returns:

Figure handle

plots.matlab_figs.plot_power_matrix(X, p, b, filename_uuid)

Function plot_power_matrix()

Parameters:

  • X – Design variable vector

  • p – Parameter struct

  • b – Design variable bounds struct

  • filename_uuid – filename_uuid

Returns:

Figure handle

plots.matlab_figs.all_sens_plots(par_J_par_p_local, dJ_star_dp_quad_local, dJ_star_dp_lin_local, dJstar_dp_global, par_x_star_par_p_local, par_x_star_par_p_global, delta_p_change_activity_local, delta_p_change_activity_global, param_names, dvar_names, b)

Function all_sens_plots()

Parameters:

  • par_J_par_p_local – par_J_par_p_local

  • dJ_star_dp_quad_local – dJ_star_dp_quad_local

  • dJ_star_dp_lin_local – dJ_star_dp_lin_local

  • dJstar_dp_global – dJstar_dp_global

  • par_x_star_par_p_local – par_x_star_par_p_local

  • par_x_star_par_p_global – par_x_star_par_p_global

  • delta_p_change_activity_local – $\delta$ p change activity local

  • delta_p_change_activity_global – $\delta$ p change activity global

  • param_names – param_names

  • dvar_names – dvar_names

  • b – Design variable bounds struct

Returns:

Figure handles

plots.matlab_figs.slam_plot()

Function slam_plot()

Returns:

Figure handle

plots.matlab_figs.SOO_result_plots(Xs_opt, lambdas, grads, hesses, objs_opt, which_objs, p, b)

Function SOO_result_plots()

Parameters:

  • Xs_opt – Xs_opt

  • lambdas – lambdas

  • grads – grads

  • hesses – hesses

  • objs_opt – objs_opt

  • which_objs – which_objs

  • p – Parameter struct

  • b – Design variable bounds struct

Returns:

Figure handles

Returns:

tab

plots.matlab_figs.lagrange_multiplier_bar_chart(b, lambda)

Function lagrange_multiplier_bar_chart()

param b:

Design variable bounds struct

param lambda:

$\lambda$

returns:

Figure handle

LAGRANGE_MULTIPLIER_BAR_CHART

plots.matlab_figs.optim_geomviz(x, p, b)

Function optim_geomviz()

Parameters:

  • x – Design variable vector

  • p – Parameter struct

  • b – Design variable bounds struct

Returns:

Optimization output flag

plots.matlab_figs.visualize_geometry(x, p, mini, color)

Function visualize_geometry()

Parameters:

  • x – Design variable vector

  • p – Parameter struct

  • mini – mini

  • color – color

Returns:

Figure handle

plots.matlab_figs.compare(p, b, X, vals)

Function compare()

Parameters:

  • p – Parameter struct

  • b – Design variable bounds struct

  • X – Design variable vector

  • vals – vals

Returns:

DV_table

Returns:

out_table

Returns:

Figure handles

plots.matlab_figs.force_sat_results(p, b)

Function force_sat_results()

Parameters:

  • p – Parameter struct

  • b – Design variable bounds struct

Returns:

Figure handle

Returns:

fig2

plots.matlab_figs.spar_hydro_plot()

Function spar_hydro_plot()

Returns:

f

plots.matlab_figs.unittest_time_bar_chart(suite, results)

Function unittest_time_bar_chart()

Parameters:

  • suite – suite

  • results – results

Returns:

figOut

plots.matlab_figs.module_runtime_compare(p, b)

Function module_runtime_compare()

Parameters:

  • p – Parameter struct

  • b – Design variable bounds struct

Returns:

f1

Returns:

f2

Returns:

f3

plots.matlab_figs.sin_desc_fcn_demo()

Function sin_desc_fcn_demo()

Returns:

Figure handles

plots.matlab_figs.b_inf_numeric()

Function b_inf_numeric()

Returns:

Figure handle

plots.matlab_figs.global_sens_plots(ratios, LCOE, LCOE_nom, P_var, Pvar_nom, param_names, num_DVs, X_LCOE, X_LCOE_nom, dvar_names, X_Pvar, X_Pvar_nom, slope_LCOE_norm, slope_Pvar_norm, slope_X_LCOE_norm, slope_X_Pvar_norm, param_table)

Function global_sens_plots()

Parameters:

  • ratios – ratios

  • LCOE – Levelized cost of energy ($/kWh)

  • LCOE_nom – LCOE_nom

  • P_var – P_var

  • Pvar_nom – Pvar_nom

  • param_names – param_names

  • num_DVs – num_DVs

  • X_LCOE – X_LCOE

  • X_LCOE_nom – X_LCOE_nom

  • dvar_names – dvar_names

  • X_Pvar – X_Pvar

  • X_Pvar_nom – X_Pvar_nom

  • slope_LCOE_norm – slope_LCOE_norm

  • slope_Pvar_norm – slope_Pvar_norm

  • slope_X_LCOE_norm – slope_X_LCOE_norm

  • slope_X_Pvar_norm – slope_X_Pvar_norm

  • param_table – param_table

Returns:

Figure handles

plots.matlab_figs.multistart_postpro(p, b, X_opt, objs, flags, x0s, num_runs)

Function multistart_postpro()

Parameters:

  • p – Parameter struct

  • b – Design variable bounds struct

  • X_opt – Optimal design variables

  • objs – objs

  • flags – Optimization output flags

  • x0s – x0s

  • num_runs – num_runs

Returns:

treeFig

Returns:

parallelFig

Returns:

barFig

Returns:

results

plots.matlab_figs.make_slamming_plot(T, Hs, theta_slam, X_below_wave, X_star, X_below_simple)

Function make_slamming_plot()

Parameters:

  • T – wave energy period (s)

  • Hs – significant wave height (m)

  • theta_slam – $\theta$ slam

  • X_below_wave – X_below_wave

  • X_star – X_star

  • X_below_simple – X_below_simple

Returns:

f

plots.matlab_figs.power_PDF(X, p, color, t, which_plots)

Function power_PDF()

Parameters:

  • X – Design variable vector

  • p – Parameter struct

  • color – color

  • t – t

  • which_plots – which_plots

Returns:

t

plots.matlab_figs.constraint_active_plot(residuals, fval, tol, b, reversed)

Function constraint_active_plot()

Parameters:

  • residuals – residuals

  • fval – fval

  • tol – tol

  • b – Design variable bounds struct

  • reversed – reversed

Returns:

idx

Returns:

f

plots.matlab_figs.experiments_plot(b, X_ins, ratios, LCOE, cost, power, failed, pareto_results_struct)

Function experiments_plot()

param b:

Design variable bounds struct

param X_ins:

X_ins

param ratios:

ratios

param LCOE:

Levelized cost of energy ($/kWh)

param cost:

cost

param power:

power

param failed:

Indices or names of violated constraints

param pareto_results_struct:

pareto_results_struct

returns:

Figure handles

returns:

results_tab

EXPERIMENTS_PLOT Post processing for design space exploration