diff --git a/DIRECTORY.md b/DIRECTORY.md
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--- a/DIRECTORY.md
+++ b/DIRECTORY.md
@@ -75,6 +75,7 @@
 ## Searches
   * [Binary Search](https://github.com/TheAlgorithms/R/blob/HEAD/searches/binary_search.r)
   * [Linear Search](https://github.com/TheAlgorithms/R/blob/HEAD/searches/linear_search.r)
+  * [Ternary Search](https://github.com/TheAlgorithms/R/blob/HEAD/searches/ternary_search.r)
 
 ## Sorting Algorithms
   * [Binary Insertion Sort](https://github.com/TheAlgorithms/R/blob/HEAD/sorting_algorithms/binary_insertion_sort.r)
diff --git a/searches/ternary_search.r b/searches/ternary_search.r
new file mode 100644
index 00000000..d52dcfa2
--- /dev/null
+++ b/searches/ternary_search.r
@@ -0,0 +1,281 @@
+# Ternary Search Algorithm
+#
+# Ternary search is a divide-and-conquer algorithm used to find the maximum or minimum
+# of a unimodal function, or to search for a value in a sorted array.
+# It divides the search space into three parts instead of two (like binary search).
+#
+# Time Complexity: O(log₃ n) ≈ O(log n) 
+# Space Complexity: O(1) for iterative, O(log n) for recursive
+#
+# Applications:
+# - Finding maximum/minimum of unimodal functions
+# - Optimization problems in competitive programming
+# - Searching in arrays (alternative to binary search)
+
+# Ternary search for finding maximum of a unimodal function
+ternary_search_maximum <- function(func, left, right, precision = 1e-9) {
+  #' Find the maximum of a unimodal function using ternary search
+  #' @param func: Function to find maximum of (must be unimodal)
+  #' @param left: Left boundary of search interval
+  #' @param right: Right boundary of search interval  
+  #' @param precision: Desired precision for the result
+  #' @return: x-coordinate where function achieves maximum
+  
+  while (right - left > precision) {
+    # Divide interval into three parts
+    mid1 <- left + (right - left) / 3
+    mid2 <- right - (right - left) / 3
+    
+    # Compare function values at the two middle points
+    if (func(mid1) < func(mid2)) {
+      # Maximum is in the right part [mid1, right]
+      left <- mid1
+    } else {
+      # Maximum is in the left part [left, mid2]
+      right <- mid2
+    }
+  }
+  
+  # Return the midpoint of final interval
+  return((left + right) / 2)
+}
+
+# Ternary search for finding minimum of a unimodal function
+ternary_search_minimum <- function(func, left, right, precision = 1e-9) {
+  #' Find the minimum of a unimodal function using ternary search
+  #' @param func: Function to find minimum of (must be unimodal)
+  #' @param left: Left boundary of search interval
+  #' @param right: Right boundary of search interval
+  #' @param precision: Desired precision for the result
+  #' @return: x-coordinate where function achieves minimum
+  
+  while (right - left > precision) {
+    # Divide interval into three parts
+    mid1 <- left + (right - left) / 3
+    mid2 <- right - (right - left) / 3
+    
+    # Compare function values at the two middle points
+    if (func(mid1) > func(mid2)) {
+      # Minimum is in the right part [mid1, right]
+      left <- mid1
+    } else {
+      # Minimum is in the left part [left, mid2]
+      right <- mid2
+    }
+  }
+  
+  # Return the midpoint of final interval
+  return((left + right) / 2)
+}
+
+# Ternary search on sorted arrays (recursive implementation)
+ternary_search_array_recursive <- function(arr, target, left = 1, right = length(arr)) {
+  #' Search for target in sorted array using recursive ternary search
+  #' @param arr: Sorted array to search in
+  #' @param target: Value to search for
+  #' @param left: Left index of search range
+  #' @param right: Right index of search range
+  #' @return: Index of target if found, -1 otherwise
+  
+  if (left > right) {
+    return(-1)  # Target not found
+  }
+  
+  # Calculate two middle points
+  mid1 <- left + floor((right - left) / 3)
+  mid2 <- right - floor((right - left) / 3)
+  
+  # Check if target is at either middle point
+  if (arr[mid1] == target) {
+    return(mid1)
+  }
+  if (arr[mid2] == target) {
+    return(mid2)
+  }
+  
+  # Determine which third to search
+  if (target < arr[mid1]) {
+    # Search in first third
+    return(ternary_search_array_recursive(arr, target, left, mid1 - 1))
+  } else if (target > arr[mid2]) {
+    # Search in last third
+    return(ternary_search_array_recursive(arr, target, mid2 + 1, right))
+  } else {
+    # Search in middle third
+    return(ternary_search_array_recursive(arr, target, mid1 + 1, mid2 - 1))
+  }
+}
+
+# Ternary search on sorted arrays (iterative implementation)
+ternary_search_array_iterative <- function(arr, target) {
+  #' Search for target in sorted array using iterative ternary search
+  #' @param arr: Sorted array to search in
+  #' @param target: Value to search for
+  #' @return: Index of target if found, -1 otherwise
+  
+  left <- 1
+  right <- length(arr)
+  
+  while (left <= right) {
+    # Calculate two middle points
+    mid1 <- left + floor((right - left) / 3)
+    mid2 <- right - floor((right - left) / 3)
+    
+    # Check if target is at either middle point
+    if (arr[mid1] == target) {
+      return(mid1)
+    }
+    if (arr[mid2] == target) {
+      return(mid2)
+    }
+    
+    # Determine which third to search
+    if (target < arr[mid1]) {
+      # Search in first third
+      right <- mid1 - 1
+    } else if (target > arr[mid2]) {
+      # Search in last third
+      left <- mid2 + 1
+    } else {
+      # Search in middle third
+      left <- mid1 + 1
+      right <- mid2 - 1
+    }
+  }
+  
+  return(-1)  # Target not found
+}
+
+# Helper function to compare ternary search with binary search
+binary_search_comparison <- function(arr, target) {
+  #' Binary search implementation for comparison
+  left <- 1
+  right <- length(arr)
+  comparisons <- 0
+  
+  while (left <= right) {
+    comparisons <- comparisons + 1
+    mid <- left + floor((right - left) / 2)
+    
+    if (arr[mid] == target) {
+      return(list(index = mid, comparisons = comparisons))
+    } else if (arr[mid] < target) {
+      left <- mid + 1
+    } else {
+      right <- mid - 1
+    }
+  }
+  
+  return(list(index = -1, comparisons = comparisons))
+}
+
+# Function to count comparisons in ternary search
+ternary_search_with_count <- function(arr, target) {
+  #' Ternary search with comparison counting
+  left <- 1
+  right <- length(arr)
+  comparisons <- 0
+  
+  while (left <= right) {
+    comparisons <- comparisons + 2  # Two comparisons per iteration
+    
+    mid1 <- left + floor((right - left) / 3)
+    mid2 <- right - floor((right - left) / 3)
+    
+    if (arr[mid1] == target) {
+      return(list(index = mid1, comparisons = comparisons))
+    }
+    if (arr[mid2] == target) {
+      return(list(index = mid2, comparisons = comparisons))
+    }
+    
+    if (target < arr[mid1]) {
+      right <- mid1 - 1
+    } else if (target > arr[mid2]) {
+      left <- mid2 + 1
+    } else {
+      left <- mid1 + 1
+      right <- mid2 - 1
+    }
+  }
+  
+  return(list(index = -1, comparisons = comparisons))
+}
+
+# Example usage and testing
+cat("=== Ternary Search Algorithm ===\n")
+
+# Test 1: Finding maximum of a quadratic function
+cat("1. Finding Maximum of Unimodal Function\n")
+quadratic_func <- function(x) -(x - 3)^2 + 10  # Maximum at x = 3
+max_x <- ternary_search_maximum(quadratic_func, 0, 6)
+cat("Function: f(x) = -(x-3)² + 10\n")
+cat("Maximum found at x =", round(max_x, 6), "\n")
+cat("Function value at maximum:", quadratic_func(max_x), "\n")
+cat("Expected maximum at x = 3\n\n")
+
+# Test 2: Finding minimum of a quadratic function  
+cat("2. Finding Minimum of Unimodal Function\n")
+quadratic_min <- function(x) (x - 2)^2 + 5  # Minimum at x = 2
+min_x <- ternary_search_minimum(quadratic_min, -1, 5)
+cat("Function: f(x) = (x-2)² + 5\n")
+cat("Minimum found at x =", round(min_x, 6), "\n")
+cat("Function value at minimum:", quadratic_min(min_x), "\n")
+cat("Expected minimum at x = 2\n\n")
+
+# Test 3: Ternary search on sorted array
+cat("3. Ternary Search on Sorted Array\n")
+sorted_array <- c(1, 3, 5, 7, 9, 11, 13, 15, 17, 19, 21, 23, 25)
+target <- 13
+
+cat("Array:", paste(sorted_array, collapse = ", "), "\n")
+cat("Searching for:", target, "\n")
+
+# Recursive version
+result_recursive <- ternary_search_array_recursive(sorted_array, target)
+cat("Recursive result: Index", result_recursive, "\n")
+
+# Iterative version
+result_iterative <- ternary_search_array_iterative(sorted_array, target)
+cat("Iterative result: Index", result_iterative, "\n")
+
+# Verify the result
+if (result_iterative != -1) {
+  cat("Value at found index:", sorted_array[result_iterative], "\n")
+}
+
+# Test 4: Performance comparison
+cat("\n4. Performance Comparison: Ternary vs Binary Search\n")
+large_array <- seq(1, 1000, by = 2)  # Odd numbers from 1 to 999
+search_target <- 501
+
+# Ternary search
+ternary_result <- ternary_search_with_count(large_array, search_target)
+# Binary search  
+binary_result <- binary_search_comparison(large_array, search_target)
+
+cat("Array size:", length(large_array), "\n")
+cat("Searching for:", search_target, "\n")
+cat("Ternary search: Found at index", ternary_result$index, 
+    "with", ternary_result$comparisons, "comparisons\n")
+cat("Binary search:  Found at index", binary_result$index, 
+    "with", binary_result$comparisons, "comparisons\n")
+
+# Test 5: Edge cases
+cat("\n5. Edge Cases\n")
+small_array <- c(10, 20, 30)
+
+cat("Small array:", paste(small_array, collapse = ", "), "\n")
+cat("Search for 20:", ternary_search_array_iterative(small_array, 20), "\n")
+cat("Search for 15 (not present):", ternary_search_array_iterative(small_array, 15), "\n")
+cat("Search for 5 (smaller than all):", ternary_search_array_iterative(small_array, 5), "\n")
+cat("Search for 35 (larger than all):", ternary_search_array_iterative(small_array, 35), "\n")
+
+# Test 6: Real optimization example
+cat("\n6. Real Optimization Example\n")
+cat("Finding optimal production quantity to minimize cost\n")
+# Cost function: fixed cost + variable cost - economies of scale
+cost_function <- function(x) 100 + 2*x + 0.001*x^2 - 0.1*x*log(x + 1)
+optimal_quantity <- ternary_search_minimum(cost_function, 1, 1000)
+cat("Optimal quantity:", round(optimal_quantity, 2), "\n")
+cat("Minimum cost:", round(cost_function(optimal_quantity), 2), "\n")
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