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OREKIT (ORbits Extrapolation KIT) is a low level space dynamics library. It provides basic elements (orbits, dates, attitude, frames ...) and various algorithms to handle them (conversions, analytical and numerical propagation, pointing ...).

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/* Copyright 2002-2020 CS Group
 * Licensed to CS Group (CS) under one or more
 * contributor license agreements.  See the NOTICE file distributed with
 * this work for additional information regarding copyright ownership.
 * CS licenses this file to You under the Apache License, Version 2.0
 * (the "License"); you may not use this file except in compliance with
 * the License.  You may obtain a copy of the License at
 *
 *   http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,
 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 */
package org.orekit.time;

import org.hipparchus.RealFieldElement;

import java.util.Collection;
import java.util.stream.Stream;

/** This interface represents objects that can be interpolated in time.
 * @param  Type of the object.
 * @param  type of the field elements
 * @author Luc Maisonobe
 */
public interface FieldTimeInterpolable , KK extends RealFieldElement> {

    /** Get an interpolated instance.
     * 
     * Note that the state of the current instance may not be used
     * in the interpolation process, only its type and non interpolable
     * fields are used (for example central attraction coefficient or
     * frame when interpolating orbits). The interpolable fields taken
     * into account are taken only from the states of the sample points.
     * So if the state of the instance must be used, the instance should
     * be included in the sample points.
     * 
     * 
     * Note that this method is designed for small samples only (say up
     * to about 10-20 points) so it can be implemented using polynomial
     * interpolation (typically Hermite interpolation). Using too much
     * points may induce Runge's
     * phenomenon and numerical problems (including NaN appearing).
     * 
     * @param date interpolation date
     * @param sample sample points on which interpolation should be done
     * @return a new instance, interpolated at specified date
     */
    default T interpolate(FieldAbsoluteDate date, Collection sample) {
        return interpolate(date, sample.stream());
    }

    /** Get an interpolated instance.
     * 
     * Note that the state of the current instance may not be used
     * in the interpolation process, only its type and non interpolable
     * fields are used (for example central attraction coefficient or
     * frame when interpolating orbits). The interpolable fields taken
     * into account are taken only from the states of the sample points.
     * So if the state of the instance must be used, the instance should
     * be included in the sample points.
     * 
     * 
     * Note that this method is designed for small samples only (say up
     * to about 10-20 points) so it can be implemented using polynomial
     * interpolation (typically Hermite interpolation). Using too much
     * points may induce Runge's
     * phenomenon and numerical problems (including NaN appearing).
     * 
     * @param date interpolation date
     * @param sample sample points on which interpolation should be done
     * @return a new instance, interpolated at specified date
     */
    T interpolate(FieldAbsoluteDate date, Stream sample);

}